Showing posts with label Data. Show all posts
Showing posts with label Data. Show all posts

Tuesday, April 7, 2015

Careers | Bazaarvoice | Senior Big Data Software Engineer

Senior Big Data Software Engineer

2015-2886
-TX-Austin Engineering

Each month, more than 400 million people view and share authentic opinions, questions and experiences about 20 million products in the Bazaarvoice network. Our technology platform channels these voices into the places that influence purchases.

Our network helps businesses gain access to a wider audience of shoppers and trusted consumer content to improve sales and marketing. Insights from our network data help marketers and advertisers provide more engaging experiences, drive product innovation and performance, make better merchandising decisions and build brand advocates and loyalty.

Bazaarvoice has access to the sentiment contained in hundreds of millions of reviews on hundreds of millions of products across a variety of industries as well as the browsing behavior on close to 600 million users a month across our client sites.  Our analytics teams leverages these data sets to help our clients build better products, build stronger relationships with their customers, and make decisions on when and where to offer products.  Analytics creates Bazaarvoice products that help companies understand the competitive positioning of their products.  A big area of business growth for Bazaarvoice will come from the efforts of our analytics team.

We are looking for a great software engineer to help build the reportable data store of Bazaarvoice data that will power our client-facing reporting, product performance reporting, and financial reporting.  You will also help us aggregate data sets to build out known new product offerings related to analytics and media as well as a number of pilot initiatives based on this data. You will need to understand the business cases of the various products and build tools as well as data sets and access methodologies to support all of them in a scalable way. In addition, you will help us pick and choose the right technologies for this platform.

In your first 90 days you can expect the following:

  • An overview of our Big Data engineering code base and development model
  • Access to the different data sets as well as training on who uses them and how they use them.
  • 4 days of Cloudera training to provide a quick ramp up of the technologies involved. 
  • By the end of the 90 days, you will be able to complete basic enhancements to code performing large-scale analytics using Map/Reduce as well as the ability to make incremental changes to existing analytics jobs.

Within the first year you will:

  • Own design, implementation, and support of major components of analytics development. This includes definition of data to be captured, how it should be aggregated and made available, and implementation of those mechanisms.
  • Have a complete grasp of the technology stack, and help guide where we go next.
  • 3-5 years of experience with highly scalable distributed systems using open source tools.
  • In-depth knowledge of the software development lifecycle (design, build, test, deploy, support).
  • An ability to demonstrate software engineering fundamentals such as OO design, unit testing, code reuse, code reviews.
  • Nice to have experience building large-scale data processing systems with extensive knowledge in data warehousing solutions. This includes developing prototypes and proof-of-concepts for the selected solutions.
  • Extensive knowledge in different programming/scripting languages such as Java, C++, PHP, Ruby, Python, etc.
  • Familiarity withone or more big-data infrastructures such as Hbase, Hadoop, Mongo, Casandra, or RDBMS.
  • An understanding and experience building high-performance algorithms.
  • Knowledge of the following technologies or concepts:
    • Familiar withHadoop, HBase, MapReduce, or other Big Data technologies.
    • Data ETL and data modeling.
    • Modern build tools such as Maven, Hudson, Github, etc.
    • Agile development methodology.
    • Linux.
  • Share this job on your Social Network!

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Careers | Bazaarvoice | Senior Big Data Software Engineer

Senior Big Data Software Engineer

2015-2881
-CA-San Francisco Engineering

Each month, more than 400 million people view and share authentic opinions, questions and experiences about 20 million products in the Bazaarvoice network. Our technology platform channels these voices into the places that influence purchases.

Our network helps businesses gain access to a wider audience of shoppers and trusted consumer content to improve sales and marketing. Insights from our network data help marketers and advertisers provide more engaging experiences, drive product innovation and performance, make better merchandising decisions and build brand advocates and loyalty.

Bazaarvoice has access to the sentiment contained in hundreds of millions of reviews on hundreds of millions of products across a variety of industries as well as the browsing behavior on close to 600 million users a month across our client sites.  Our analytics teams leverages these data sets to help our clients build better products, build stronger relationships with their customers, and make decisions on when and where to offer products.  Analytics creates Bazaarvoice products that help companies understand the competitive positioning of their products.  A big area of business growth for Bazaarvoice will come from the efforts of our analytics team.

We are looking for a great software engineer to help build the reportable data store of Bazaarvoice data that will power our client-facing reporting, product performance reporting, and financial reporting.  You will also help us aggregate data sets to build out known new product offerings related to analytics and media as well as a number of pilot initiatives based on this data. You will need to understand the business cases of the various products and build tools as well as data sets and access methodologies to support all of them in a scalable way. In addition, you will help us pick and choose the right technologies for this platform.

In your first 90 days you can expect the following:

  • An overview of our Big Data engineering code base and development model
  • Access to the different data sets as well as training on who uses them and how they use them.
  • 4 days of Cloudera training to provide a quick ramp up of the technologies involved. 
  • By the end of the 90 days, you will be able to complete basic enhancements to code performing large-scale analytics using Map/Reduce as well as the ability to make incremental changes to existing analytics jobs.

Within the first year you will:

  • Own design, implementation, and support of major components of analytics development. This includes definition of data to be captured, how it should be aggregated and made available, and implementation of those mechanisms.
  • Have a complete grasp of the technology stack, and help guide where we go next.
  • 3-5 years of experience with highly scalable distributed systems using open source tools.
  • In-depth knowledge of the software development lifecycle (design, build, test, deploy, support).
  • An ability to demonstrate software engineering fundamentals such as OO design, unit testing, code reuse, code reviews.
  • Nice to have experience building large-scale data processing systems with extensive knowledge in data warehousing solutions. This includes developing prototypes and proof-of-concepts for the selected solutions.
  • Extensive knowledge in different programming/scripting languages such as Java, C++, PHP, Ruby, Python, etc.
  • Familiarity withone or more big-data infrastructures such as Hbase, Hadoop, Mongo, Casandra, or RDBMS.
  • An understanding and experience building high-performance algorithms.
  • Knowledge of the following technologies or concepts:
    • Familiar withHadoop, HBase, MapReduce, or other Big Data technologies.
    • Data ETL and data modeling.
    • Modern build tools such as Maven, Hudson, Github, etc.
    • Agile development methodology.
    • Linux.
  • Share this job on your Social Network!

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Friday, April 3, 2015

Data Scientist (m/f) | PAYMILL GmbH

Data Scientist (m/f)

Data Scientist (m/f)

PAYMILL is a young, innovative payment transaction provider based in Munich, Germany, which enables companies to offer credit card payments on their websites. The modern technology and the Top quality customer support distinguishes PAYMILL from other payment service providers. PAYMILL is active in almost 40 countries and is supported by well-known international investors. Become now a part of our dynamic, international and highly motivated team and actively help to shape the rapid growth of our company.

Currently we are looking for a new team member in Munich as Data Scientist (m/f).
 

What you will be doing

  • Complex data analysis and development of predictive models based on modern statistic methods
  • Interpretation of the data and derivation of recommendations based on own analysis
  • Bring business requirements to big-data-solutions and create the necessary systems, processes and interfaces
  • Development of new solutions and analytical methods for current and future issues

What we expect from you

  • You have a degree in mathematics, physics, business administration or information technology
  • Long experience in a similar position
  • Consolidated knowledge in statistics and machine learning, Know-how in natural language processing would be an advantage
  • You have already worked with SQL, Excel and also with R, Python or other common statistics software
  • Logical-analytical power, conceptual strength as well as a good psychological-technical understanding and strategic thinking are some of your main competences
  • Strong communication and presentation skills
  • You speak English fluently, additional languages such as German would be a plus

What you get

  • A dynamic, modern and exciting working environment
  • Perfect experience of a start-up atmosphere, professional working ethics and a vast scope of tasks
  • Room for your personal and professional development
  • A motivated team that lives a strong cohesion - both on and off the job - and organizes numerous events through the year
  • A flat hierarchy and short decision lines 

Wednesday, April 1, 2015

[Prezi] Data Engineer - San Francisco

Challenges

Build the data infrastructure and frameworks that will be used to find correlations across Marketing and Sales that will form testable hypotheses and upon which experiments will be judged.
Conduct data engineering and analysis, and while partnering with our data analyst, arrive at conclusions and make actionable business recommendations based on your research and investigations. You’ll need to work smart, fast, and cross-functionally.

Responsibilities

  • Partner with our San Francisco-based data analyst to test, build, automate, and maintain datasets for our Marketing and Sales teams that will be used to measure the success of new campaigns and product features

  • Turn business questions into testable hypotheses and hypotheses into scalable and definitive experiments (ie: what does it take to convert a free user to paying?). These experiments will inform the highest-level business decisions at Prezi.

  • Triage problems with our campaigns and products by investigating user engagement logs and datasets

Requirements

  • 3-5 years of experience working with Big Data (Internet, banking, telecommunication, or cloud SaaS)

  • Experience in data transformation: SQL, Pig, Python, and Shell scripting

  • Experience in basic statistical methodology: eg. clustering and testing, predictive modelling (eg. decision trees, regressions)

  • Know at least one statistical software in depth: R, Rapidminer, SPSS, SAS, MATLAB etc.


We work with:

  • Pig, Bash, Python, SQL, R

  • Hadoop system

  • Amazon Web Services: EC2, EMR, Redshift

Why work at Prezi?

  • Continuing opportunities to learn new technologies

  • Be empowered to affect Prezi’s business strategy

  • Immediate impact - your work will be seen by more than 50 million users as soon as you deploy

  • <p
  • Office in downtown San Francisco

  • International work environment and opportunities to travel internationally

  • Creative, fast-paced, flexible, fun, and challenging environment

  • Competitive compensation and benefit package including equity

Thursday, November 27, 2014

Data Analyst | Centro

Description

ABOUT THE PRODUCT AND ENGINEERING TEAM

 

Centro is building the world’s most respected product and engineering organization.  This is a bold claim, and one we do not make lightly.  Of course, we can back it up:  Ad Tech is one of the hottest technology sectors today, with the worlds most distinguished product and engineering organizations vying to be the first to truly and forever disrupt a $200 billion industry. 

 

Of course, delivering technology that changes the way an industry does business requires a massive product, design, and engineering effort.  To do our heavy lifting, we attract talent from an array of disciplines to work in highly-collaborative, agile, cross-functional teams.   Together we tackle the complexity of scale that comes from performing 30 billion transactions per day. We innovate with machine learning and Big Data solutions to deliver optimized campaign performance and recommendations. We create elegant user interfaces that unite all the functions of our platform into one, seamless, intuitive, and delightful experience.

 

Together, we are winning advertising tech, will you join us?

 

ABOUT THE TEAM

The Data Ops  team is responsible for transforming Centro's data into actionable information across the organization. This ranges from daily performance reports to real-time historical analysis. Currently we use the Pentaho suite as our business intelligence platform and PostgreSQL for our database platform. We believe in Agile software development and use Scrum as our project management methodology. 'Inspect and Adapt' is more than just a catch-phrase to us. We are willing to have every problem under the sun exactly once, in exchange for never having the same problem twice.

ABOUT THE ROLE

The Data Analyst will be responsible for identifying business trends, and opportunities for improving business performance, as well as developing actionable plans to capitalize on such. The Data Analyst will be working with multiple sets of complex data and various functional groups, in order to understand and draw conclusions with regards to the overall performance of the business. The role requires a blend of strong business acumen, strategic thinking, and quantitative abilities.

CORE RESPONSIBILITIES

  • Assist development of business plans, cost-benefit analysis and other model-building.
  • Provide input in overall strategic plans for business unit.
  • Determine operational objectives by liaising with functional groups, gathering information (internally and externally), and evaluating available output options.
  • Visualize and create high-level models that can be used in future analysis to extend and mature the business architecture.
  • Establish the appropriate metrics and methodology to review and identify potential areas for improvement.
  • Perform competitive and market analysis connecting key strategic projects with implications and possible outcomes for the business unit, and present findings and recommendations to various stakeholders.
  • Identify, define, and articulate industry, market, and emerging trends and how they may affect the business.
  • Define project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget.
  • Collaborates with key leaders to drive the strategy deployment process for the business unit, and develop and track implementation plans to ensure the appropriate level of focus and discipline.
  • Defines and tracks key strategic performance metrics.

 

QUALIFICATIONS

  • In-depth knowledge of commercial operations, product management, business development and/or marketing.
  • Strong business acumen and a demonstrated ability to develop and maintain professional and personal relationships with key business stakeholders.
  • Ability to understand, analyze and assimilate complex issues, draw correct conclusions and formulate clear strategy and policies.
  • Excellent presentation and analytical skills.
  • Demonstrated ability to influence without direct authority.
  • High level of intellectual curiosity combined with a ‘results-driven’ mindset and high EQ.
  • Highly self-motivated with ability to manage and prioritize multiple projects and initiatives.
  • At least 1 year of relevant professional experience, including broad-based experience in strategy consulting, corporate strategy and/or market/financial analysis required. 

 

EDUCATION

  • No degree can substitute for aptitude, attitude, and integrity so we have no such requirement.  Bachelor’s degrees in business, economics or other related field are nice to have.  An MBA, or other advanced degree related to position, is a strong bonus.

 

ABOUT CENTRO

 

Centro provides unified, cloud-based software to simplify digital media operations. Our media management platform streamlines and scales ad buys across all channels, accessing both guaranteed and biddable inventory, to achieve any campaign objective. Our holistic approach gives marketers a single system of record to fulfill their research, planning, buying, optimization and reporting needs. Since 2001, Centro has successfully planned and executed more than 100,000 national and local campaigns across all digital display platforms and ad format types. Headquartered in Chicago with 33 offices in North America, Centro's success and commitment to culture has led to many accolades, including #1 on Crain's Best Places to Work in Chicago in 2011, 2012, 2013 and 2014.

 

 

***Centro is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of race, gender, age, disability or any other basis protected under the law.***

Senior Data Scientist | Centro

Description

ABOUT THE PRODUCT AND ENGINEERING TEAM

Centro is building the world’s most respected product and engineering organization.  This is a bold claim, and one we do not make lightly.  Of course, we can back it up:  Ad Tech is one of the hottest technology sectors today, with the worlds most distinguished product and engineering organizations vying to be the first to truly and forever disrupt a $200 billion industry. 

 

Of course, delivering technology that changes the way an industry does business requires a massive product, design, and engineering effort.  To do our heavy lifting, we attract talent from an array of disciplines to work in highly-collaborative, agile, cross-functional teams.   Together we tackle the complexity of scale that comes from performing 30 billion transactions per day. We innovate with machine learning and Big Data solutions to deliver optimized campaign performance and recommendations. We create elegant user interfaces that unite all the functions of our platform into one, seamless, intuitive, and delightful experience.

 

Together, we are winning advertising tech, will you join us?


ABOUT THE BUSINESS INTELLIGENCE TEAM

The Business Intelligence team is responsible for transforming Centro's data into actionable information across the organization.  This ranges from daily performance reports to real-time historical analysis.  Currently we use the Pentaho suite as our business intelligence platform and PostgreSQL for our database platform.  We believe in Agile software development and use Scrum as our project management methodology.  'Inspect and Adapt' is more than just a catch-phrase to us.  We are willing to have every problem under the sun exactly once, in exchange for never having the same problem twice.

ABOUT THE ROLE

Centro is looking for talented, passionate Data Scientist with the skill and desire to contribute to our Business Intelligence team. 
 
Centro’s technology focuses on improving and streamlining digital Media Logistics for online advertising.  We are seeking a talented Data Scientist that can help transform the data created from these activities into actionable information.  We aim to derive meaning from our data, enabling us to run our business better, and also equip our clients to advertise smarter.
 
If you have experience working to extract knowledge and actionable information from multiple data sources, then we would love to talk with you.  If you are the type of person who comes to work every day expecting to learn, contribute, teach, and have fun, then we think you will fit right in.
 
As part of our Business Intelligence team you are going to collaborate to solve real-world business problems that Centro is tackling.  You'll be working with engineers, business analysts and internal users to bridge the gap between raw data and analysis.
 
THE GIG

  • A qualified applicant has a unique blend of skills that can both unlock the insights of data and tell the fantastic story contained within. 
  • You should be well versed in the application of analytic techniques and predictive modeling. 
  • We're looking for someone that does not limit their vision to how things are done today and instead focuses on the best ways to create value. 
  • You enjoy working directly with the people that use this information and know how to manage their expectations. 
  • We expect that you will contribute to the culture of learning and continuous improvement on the team. 
  • Also, if you don't already have it, that you will build strong business domain knowledge related to online advertising, campaign planning and execution, ad serving technologies and related topics.

 
YOU ARE RIGHT FOR THE JOB IF

  • You have 7+ years experience working in a business intelligence, operations management, or data analytics capacity.
  • Experience with statistical and data analysis tools such as:  R, SAS, SQL.
  • Experience with complied and dynamic scripting languages such as:  Java, C/C++/C#, Python, Ruby, Perl, JavaScript.
  • Experience working with big data frameworks - specifically within the Hadoop Ecosystem.
  • Your background, relevant work experience and education shows a mixture of math, engineering, curiosity, writing, and skepticism.
  • You have a practical ability to visualize data, communicate about the data, and utilize it effectively.
  • You are able to report on what data says *AND* explore data to see what it is telling you.
  • You feel comfortable operating with data that is sometimes incomplete.  Or messy.  Or both.
  • You have some data grappling skills (moving data around and manipulating it to some extent, etc).
  • You have knowledge of statistics, as well as experience with forecasting and prediction.
  • You have excellent written and verbal communication skills, with an ability to express business concepts in technical terms (and vice-versa).

 
Bonus items:

  • You have experience with the Pentaho BI Suite (or similar toolset).
  • You have experience working in on-line advertising. 

ABOUT CENTRO

Centro provides unified, cloud-based software to simplify digital media operations. Our media management platform streamlines and scales ad buys across all channels, accessing both guaranteed and biddable inventory, to achieve any campaign objective. Our holistic approach gives marketers a single system of record to fulfill their research, planning, buying, optimization and reporting needs. Since 2001, Centro has successfully planned and executed more than 100,000 national and local campaigns across all digital display platforms and ad format types. Headquartered in Chicago with 33 offices in North America, Centro's success and commitment to culture has led to many accolades, including #1 on Crain's Best Places to Work in Chicago in 2011, 2012, 2013 and 2014.

***Centro is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of race, gender, age, disability or any other basis protected under the law.***e

Senior Data Engineer | Centro

Description

ABOUT THE PRODUCT AND ENGINEERING TEAM

 

Centro is building the world’s most respected product and engineering organization.  This is a bold claim, and one we do not make lightly.  Of course, we can back it up:  Ad Tech is one of the hottest technology sectors today, with the worlds most distinguished product and engineering organizations vying to be the first to truly and forever disrupt a $200 billion industry. 

 

Of course, delivering technology that changes the way an industry does business requires a massive product, design, and engineering effort.  To do our heavy lifting, we attract talent from an array of disciplines to work in highly-collaborative, agile, cross-functional teams.   Together we tackle the complexity of scale that comes from performing 30 billion transactions per day. We innovate with machine learning and Big Data solutions to deliver optimized campaign performance and recommendations. We create elegant user interfaces that unite all the functions of our platform into one, seamless, intuitive, and delightful experience.

 

Together, we are winning advertising tech, will you join us?

 

ABOUT THE TEAM

The Data Ops team is responsible for transforming Centro's data into actionable information across the organization. This ranges from daily performance reports to real-time historical analysis. Currently we use the Pentaho suite as our business intelligence platform and PostgreSQL for our database platform. We believe in Agile software development and use Scrum as our project management methodology. 'Inspect and Adapt' is more than just a catch-phrase to us. We are willing to have every problem under the sun exactly once, in exchange for never having the same problem twice.

 

ABOUT THE ROLE

Centro is looking for talented, passionate Data Warehouse Engineer with the skill and desire to contribute to our business intelligence team.    Centro’s technology focuses on improving streamlining the entire digital media process, from research thru trafficking, with focus on each step in between.  We are seeking talented Data Warehouse Engineer that can help transform the data created from these activities into actionable information.  We aim to derive meaning from our data that enables us to run our business better, and also equips our clients to advertise smarter.   If you have experience working with large data systems, then we would love to talk with you.  If you are the type of person who comes to work every day expecting to learn, contribute, teach, and have fun, then we think you will fit right in.  

CORE RESPONSIBILITIES

As part of our business intelligence team you are going to collaborate to solve real-world business problems that Centro is tackling.  You'll be working with all parts of the BI stack.  This ranges from design, implementation and support of our data warehouse all the way through how our end users consume information we generate.  You'll work closely with business users, data analysts and software engineers to design and implement data integration flows into the enterprise warehouse.

  • A qualified applicant should be familiar with a variety of the data warehousing concepts and practices. 
  • At a basic level, you can translate business intelligence needs into a system design and then implement it. 
  • You have the capabilities to extend a given BI tool's out-of-box functionalities to provide better user experiences, if that is called for. 
  • You enjoy working directly with the people that use these reports and know how to manage their expectations. 
  • We expect that you will contribute to the culture of learning and continuous improvement on the team. 
  • Also, if you don't already have it, that you will build strong business domain knowledge related to online advertising, campaign planning and execution, ad serving technologies and related topics.

QUALIFICATIONS

  • You have 5-10 years of end-to-end experience with data warehousing and BI systems (including data modeling, ETL architectures and OLAP). 
  • You've designed, built, and supported data warehouses.
  • You have a strong understanding of dimensional modeling and other data warehouse techniques.
  • You have the ability to quickly understand business requirements and transform them into data models.
  • You have experience developing and implementing ETL processes, and dealing with performance and scaling issues.
  • You have strong database and SQL skills. (We use PostGreSQL, but experience with similar database platforms works for us.)
  • You have experience in scripting languages (perl, python, javascript, etc)
  • You are knowledgeable in Java (We use Pentaho as our BI platform)
  • You have expertise in job scheduling, data quality, metadata management and monitoring systems.
  • You have excellent written and verbal communication skills, with an ability to express business concepts in technical terms (and vice-versa).
  • You are able to help troubleshoot problems and resolve issues.

Bonus items:

  • You have experience with Ruby
  • You have experience with the Hadoop eco-system (HDFC, MapReduce, Hive, Pig, etc).

 

EDUCATION

  • No degree can substitute for aptitude, attitude, and integrity so we have no such requirement.  Bachelor’s degrees in business, economics or other related field are nice to have.  An MBA, or other advanced degree related to position, is a strong bonus.

 

ABOUT CENTRO

 

Centro provides unified, cloud-based software to simplify digital media operations. Our media management platform streamlines and scales ad buys across all channels, accessing both guaranteed and biddable inventory, to achieve any campaign objective. Our holistic approach gives marketers a single system of record to fulfill their research, planning, buying, optimization and reporting needs. Since 2001, Centro has successfully planned and executed more than 100,000 national and local campaigns across all digital display platforms and ad format types. Headquartered in Chicago with 33 offices in North America, Centro's success and commitment to culture has led to many accolades, including #1 on Crain's Best Places to Work in Chicago in 2011, 2012, 2013 and 2014.

 

***Centro is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of race, gender, age, disability or any other basis protected under the law.***

Senior Vice President, Data | Centro

Description

ABOUT THE TEAM

Centro is building the world’s most respected engineering organization.  This is a bold claim, and one we do not make lightly. Of course, we can back it up: Ad Tech is one of the hottest technology sectors today, with some of the most distinguished engineering organizations vying to be the first to truly and forever disrupt a $600 Billion industry.

We are building a suite of SaaS applications that will automate and streamline digital media management - disrupting an industry often run by fax machine and spreadsheets. On our platform, our customers negotiate, analyze, and reconcile complex deals at blazing speed.  The ability to manage any type of digital advertising campaign across 100% of all digital channels drastically improves the productivity and performance of digital media teams - reducing costs and maximizing profitability.  

Centro is winning ad tech, and nothing garners respect like success. Will you join us?

ABOUT THE ROLE

This role will be responsible for organizing, leading and growing Centro’s Data Technology Group - this includes data science, data engineering and analytics. A key contributor to overall strategy and vision, you will also be responsible for realizing the vision by designing and building phenomenal, data-based, product components as part of Centro’s media platform.

You will use data modeling, machine learning, statistical methods and related techniques to leverage Centro’s priceless proprietary data plus other 1st and third party data sources. You will discover trends, build machine intelligence and predictive capabilities, optimize and enhance and bring insight to the point of action with compelling visualizations and embedded analytics.

Working with our senior business and technology leaders, you will drive the team to explore and discover the patterns that can inform media decisions and also explore unique business opportunities for Centro that enable us to leverage our collective data assets. The ideal person will have a blend of educational and business work experience and be capable of representing Centro at conferences, trade shows, and client meetings.

There is a small existing team with a broad range of backgrounds and experience that needs a strong, hands on leader to grow and scale, accelerating delivery on Centro’s vision. This team is part of the overall R&D group led by Centro’s CTO.

CORE RESPONSIBILITIES

  • Contribute as a member of the R&D leadership team.
  • Lead the development and testing of hypotheses
  • Research and apply multidisciplinary techniques, findings and approaches
  • Design, implement and analyze algorithms that substantially impact Centro products
  • Lead development of prototypes and guide solutions into production
  • Contribute to Centro’s product roadmap
  • Serve as the primary person to consult on complex data science issues, contributing key ideas
  • Grow and lead a strong data team of scientists, researchers, engineers and analysts to help you accomplish company goals
  • Use predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore and identify the right data to be analyzed from internal and external sources
  • Construct software systems and algorithms to explain or predict behavior and solve a variety of business problems
  • Serve as spokesperson and advocate on relevant data science issues to both internal and external audiences and stakeholders
  • Perform data analysis and data mining for multiple business functions and areas
  • Create ad-hoc analysis and interpretations
  • Maintain data and in-house infrastructure
  • Coordinate analytic processes and develop new models to increase efficiency and output
  • Create new techniques and avenues for collection, interpretation, and analysis of multiple data streams business wide

QUALIFICATIONS

  • 15+ years working with large datasets, applied statistical methods, machine learning and software systems.
  • 5+ years at the VP+ level responsible for leading a similar group
  • Knowledge of data mining and predictive analysis
  • Experience dealing with scalability challenges
  • Experience working with open-source tools, cloud computing, and data visualization
  • Conceptual modeling experience– sharing and articulating theories
  • Ability to communicate new knowledge and insights gained from analysis of big data
  • Experience performing statistical analysis to quantify the limitations of models
  • Ability to take the inferences from data and produce decisions from it that will optimize objectives
  • Ability to transfer knowledge and concepts to the team that is implementing the actual system
  • Ability to grasp data and see patterns or make inferences at a high level
  • Experience growing and managing a mixed team of data scientists, engineers and analysts across geographies and being a hands-on leader.
  • Obsession with data and system improvement, tempered with pragmatic ability to prioritize
  • Proven research background, in academic or industrial work, with an emphasis on delivering practical research that has a critical impact on multiple projects
  • Awareness of business objectives and ability to apply this understanding to recommend and implement product development for difficult and complex technical issues
  • Ability to script experimental solutions and use off-the-shelf statistical analysis tools
  • Ability to quickly prototype experimental solutions and develop robust, maintainable production systems
  • Experience building systems at scale using open source components such as Hadoop, MapReduce, Pig, HBase, Mahout, etc.
  • Experience with relational and nonrelational data stores such as MySQL, Postgres, Oracle, MongoDB, Cassandra, Neo4J
  • Experience with API based integration over the Internet using XML, JSON, REST and classic ETL/data mapping and transformation products and process.
  • Experience with statistical and mathematical packages such as R, Octave, Matlab, SAS, SPSS
  • Experience with Linux or Unix based production environments.
  • Proficient in a programing language such as C, Java, C++, Python.
  • Strong results driven personality, with a high level of enthusiasm, energy and confidence
  • Excellent analytical, communication, organizational and presentation skills
  • Managerial skills: hire, train and mentor research team
  • Ability to demonstrate flexibility and integrity: be able and willing to work hands on, independently or with a small team providing leadership
  • Experience working at a growth-stage startup company
  • Experience with large scale algorithm challenges in the consumer Internet space
  • Experience data wrangling/etl.
  • Interest or skill in data visualizations that answer questions succinctly
  • Data modeling
  • Interest or experience in collaborative filtering, clustering, regression analysis, machine learning, nlp, algorithms.
  • Understanding of Business KPI's
  • A/B testing.
  • Intuition about data and data mash-ups
  • Work well independently or in groups
  • Not afraid to work complex/seemingly intractable problems
  • Strong communication and collaboration skills
  • Presence as a recognized, published thought leader in their prior industry
  • Frequent speaker at industry conferences and events focused on data topics
  • Applicants must be authorized to work in the U.S.
  • Has experience with Data Privacy and Data Rights across legal jurisdictions.

PLUSES
Advertising/marketing/media experience

EDUCATION
Graduate degree (PhD preferred) in a quantitative field such as Computer Science, Mathematics, Statistics or applicable engineering or physical/life science subject areas. (Machine Learning/AI/Big Data focus from a well-regarded program preferred)

ABOUT CENTRO

We were founded in 2001, with our roots in local digital buying. We built our own media management system to aggregate small local sites market by market so that advertisers could effectively and quickly utilize the benefits of local digital media. We expanded to working with national sites in 2008 and rapidly grew to one of the largest buyers of digital media in the U.S. We bring the scale of a large media buying agency to our client partners. Today we manage $350MM in digital spending for our clients and we manage almost 6,000 campaigns which gives us incredible knowledge of the marketplace. 

Our vision is to deliver a unified, holistic platform to simplify digital media operations. Streamline and scale campaigns across any class of inventory, publisher or digital channel. Centro Media Manager will bring it all together under one powerful yet easy-to-use cloud-based application.

Centro is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of race, gender, age, disability or any other basis protected under the law.

Data Quality Analyst | Centro

Description

ABOUT THE PRODUCT AND ENGINEERING TEAM

Centro is building the world’s most respected product and engineering organization.  This is a bold claim, and one we do not make lightly.  Of course, we can back it up:  Ad Tech is one of the hottest technology sectors today, with the worlds most distinguished product and engineering organizations vying to be the first to truly and forever disrupt a $200 billion industry. 

 

Of course, delivering technology that changes the way an industry does business requires a massive product, design, and engineering effort.  To do our heavy lifting, we attract talent from an array of disciplines to work in highly-collaborative, agile, cross-functional teams.   Together we tackle the complexity of scale that comes from performing 30 billion transactions per day. We innovate with machine learning and Big Data solutions to deliver optimized campaign performance and recommendations. We create elegant user interfaces that unite all the functions of our platform into one, seamless, intuitive, and delightful experience.

 

Together, we are winning advertising tech, will you join us?

 

ABOUT THE DATA TEAM

The Data team is responsible for transforming Centro's data into actionable information across the organization. This ranges from daily performance reports to real-time historical analysis. Currently we use the Pentaho suite as our business intelligence platform and PostgreSQL for our database platform. We believe in Agile software development and use Scrum as our project management methodology. 'Inspect and Adapt' is more than just a catch-phrase to us. We are willing to have every problem under the sun exactly once, in exchange for never having the same problem twice.

 

ABOUT THE ROLE

We are looking for a smart, motivated and experienced individual to join our Data Team as a Data Quality Analyst.  The Data Quality Analyst will be responsible for verifying different complicated reports created from our data warehouse.

 

THE GIG:

  • Apply your creativity and analytical skills in order to analyze the validity of a report's data.
  • Apply your observational skills to look for gaps in process, code, testing, and environments, and drive solutions.
  • Work closely with the development team to assure consistency of data in the reports.
  • Create scenarios where the reports can be broken as part of acceptance criteria for development.
  • Ability to learn new technologies, applications and skills quickly. 

 

YOU ARE RIGHT FOR THE JOB IF:

  • You have previous experience with Data Quality issues and proven track of improving Data Quality.
  • You have strong analytical and observational skills.
  • You possess strong aptitude with SQL and other database technologies. You should be able to build complicated SQL statements to obtain and analyze data.
  • You have previous experience with data analysis, data mining, and data manipulations.
  • You have data warehouse application experience.
  • You possess a strong attention to detail.
  • You have previous experience with Excel.
  • You have knowledge and experience with R and/or Python.
  • You have a Bachelor’s Degree in Math, Physics, Statistics, Computer Science or related field. 

 

ABOUT CENTRO

Centro provides unified, cloud-based software to simplify digital media operations. Our media management platform streamlines and scales ad buys across all channels, accessing both guaranteed and biddable inventory, to achieve any campaign objective. Our holistic approach gives marketers a single system of record to fulfill their research, planning, buying, optimization and reporting needs. Since 2001, Centro has successfully planned and executed more than 100,000 national and local campaigns across all digital display platforms and ad format types. Headquartered in Chicago with 33 offices in North America, Centro's success and commitment to culture has led to many accolades, including #1 on Crain's Best Places to Work in Chicago in 2011, 2012, 2013 and 2014.

 

***Centro is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of race, gender, age, disability or any other basis protected under the law.***

Senior Data Scientist | Centro

Description

ABOUT THE ROLE

Centro is looking for talented, passionate Data Scientist with the skill and desire to contribute to our Business Intelligence team. 
 
Centro’s technology focuses on improving and streamlining digital Media Logistics for online advertising.  We are seeking a talented Data Scientist that can help transform the data created from these activities into actionable information.  We aim to derive meaning from our data, enabling us to run our business better, and also equip our clients to advertise smarter.
 
If you have experience working to extract knowledge and actionable information from multiple data sources, then we would love to talk with you.  If you are the type of person who comes to work every day expecting to learn, contribute, teach, and have fun, then we think you will fit right in.
 
As part of our Business Intelligence team you are going to collaborate to solve real-world business problems that Centro is tackling.  You'll be working with engineers, business analysts and internal users to bridge the gap between raw data and analysis.
 
CORE RESPONSIBILITIES

  • A qualified applicant has a unique blend of skills that can both unlock the insights of data and tell the fantastic story contained within. 
  • You should be well versed in the application of analytic techniques and predictive modeling. 
  • We're looking for someone that does not limit their vision to how things are done today and instead focuses on the best ways to create value. 
  • You enjoy working directly with the people that use this information and know how to manage their expectations. 
  • We expect that you will contribute to the culture of learning and continuous improvement on the team. 
  • Also, if you don't already have it, that you will build strong business domain knowledge related to online advertising, campaign planning and execution, ad serving technologies and related topics.

 
QUALIFICATIONS

  • You have 7+ years experience working in a business intelligence, operations management, or data analytics capacity.
  • Experience with statistical and data analysis tools such as:  R, SAS, SQL.
  • Experience with complied and dynamic scripting languages such as:  Java, C/C++/C#, Python, Ruby, Perl, JavaScript.
  • Experience working with big data frameworks - specifically within the Hadoop Ecosystem.
  • Your background, relevant work experience and education shows a mixture of math, engineering, curiosity, writing, and skepticism.
  • You have a practical ability to visualize data, communicate about the data, and utilize it effectively.
  • You are able to report on what data says *AND* explore data to see what it is telling you.
  • You feel comfortable operating with data that is sometimes incomplete.  Or messy.  Or both.
  • You have some data grappling skills (moving data around and manipulating it to some extent, etc).
  • You have knowledge of statistics, as well as experience with forecasting and prediction.
  • You have excellent written and verbal communication skills, with an ability to express business concepts in technical terms (and vice-versa).

 
Bonus items:

  • You have experience with the Pentaho BI Suite (or similar toolset).
  • You have experience working in on-line advertising. 

 
ABOUT THE TEAM

The Business Intelligence team is responsible for transforming Centro's data into actionable information across the organization.  This ranges from daily performance reports to real-time historical analysis.  Currently we use the Pentaho suite as our business intelligence platform and PostgreSQL for our database platform.  We believe in Agile software development and use Scrum as our project management methodology.  'Inspect and Adapt' is more than just a catch-phrase to us.  We are willing to have every problem under the sun exactly once, in exchange for never having the same problem twice.
 

 
 

Centro is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of race, gender, age, disability or any other basis protected under the law.

Senior Software Engineer, Big Data | Centro

Description

ABOUT THE ENGINEERING TEAM

Centro is building the world’s most respected engineering organization.  This is a bold claim, and one we do not make lightly.  Of course, we can back it up:  Ad Tech is one of the hottest technology sectors today, with some of the most distinguished engineering organizations vying to be the first to truly and forever disrupt a $600 Billion industry. 

 

We are building a suite of SaaS applications that will automate and streamline digital media management - disrupting an industry often run by fax machine and spreadsheets. On our platform, our customers negotiate, analyze, and reconcile complex deals at blazing speed.  The ability to manage any type of digital advertising campaign across 100% of all digital channels drastically improves the productivity and performance of digital media teams - reducing costs and maximizing profitability.  

 

Centro is winning ad tech, and nothing garners respect like success.  Will you join us?

 

ABOUT THE ROLE

We are seeking outstanding and forward-thinking Big data engineer(s) to help manage our ever-growing information needs and answer increasingly complex business questions.

 

You will help us build a new Data Management Platform that will absorb and transform data resulting from performing over 30 Billion transactions every day.  The source of this massive data stream is our Real Time Bidding platform used by our 4000+ customers running campaigns across 48,000+ publishers.

 

Your coworkers are savvy, innovative, and (at least in our opinion) pretty fun.

THE GIG:

  • Design, implement and scale data models, ETL’s and event pipelines in a distributed data processing platform.
  • Provide structured and timely access to our large datasets.
  • Provide Data Engineering expertise to multiple teams across our organization.
  • Build fault tolerant, self-healing, adaptive and highly accurate data and event computational pipelines.
  • Prepare and capture data for machine learning and automation.
  • Tune queries running over billion of rows of data running in a distributed query engine.

 

YOU ARE RIGHT FOR THE JOB IF (you have some or most of following):

  • Big data is more than a buzzword for you.
  • You understand how to handle high velocity, high volume data events
  • Have an interest or have built data pipelines moving terabytes of data.
  • Passion and knowledge of AdTech is a big plus
  • Should have experience in software engineering.
  • Experience with object-oriented design, coding and testing patterns
  • Experience in engineering (commercial or open source) software platforms and large-scale data infrastructures.
  • Have the capability to architect highly scalable distributed systems, using different open source tools.
  • You understand how algorithms work and have experience building high-performance algorithms.
  • Be able to work in teams and collaborate with others.
  • You’re a great communicator and are capable of not just doing the work, but teaching others and explaining the “why” behind complicated technical decisions.
  • Experience with Linux/UNIX systems and the best practices for deploying applications to those stacks.
  • A commitment to best practices. We’ll want your opinions on operational processes, DevOps, deployment checklists, and more.
  • You aren’t afraid to roll up your sleeves: This role will evolve over time, and we’ll want you to evolve with it!
  • 5+ number of years in Java
  • 2+ number of years with big data technologies (Hadoop, MapReduce, NoSQL)
  • Have a Bachelor’s or Master’s degree in computer science or software engineering;

 

One more thing to think about: Your contribution will help transform the entire AdTech business. (You can live with that, right?)

 

ABOUT CENTRO

 

We were founded in 2001, with our roots in local digital buying. We built our own media management system to aggregate small local sites market by market so that advertisers could effectively and quickly utilize the benefits of local digital media. We expanded to working with national sites in 2008 and rapidly grew to one of the largest buyers of digital media in the U.S. We bring the scale of a large media buying agency to our client partners. Today we manage $350MM in digital spending for our clients and we manage almost 6,000 campaigns which gives us incredible knowledge of the marketplace. 

 

Our vision is to deliver a unified, holistic platform to simplify digital media operations. Streamline and scale campaigns across any class of inventory, publisher or digital channel.

Centro is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of race, gender, age, disability or any other basis protected under the law.

Wednesday, November 26, 2014

Data Scientist | Centro

Description

ABOUT THE ROLE

Centro is looking for talented, passionate Data Scientist with the skill and desire to contribute to our Business Intelligence team. 
 
Centro’s technology focuses on improving and streamlining digital Media Logistics for online advertising.  We are seeking a talented Data Scientist that can help transform the data created from these activities into actionable information.  We aim to derive meaning from our data, enabling us to run our business better, and also equip our clients to advertise smarter.
 
If you have experience working to extract knowledge and actionable information from multiple data sources, then we would love to talk with you.  If you are the type of person who comes to work every day expecting to learn, contribute, teach, and have fun, then we think you will fit right in.
 
As part of our Business Intelligence team you are going to collaborate to solve real-world business problems that Centro is tackling.  You'll be working with engineers, business analysts and internal users to bridge the gap between raw data and analysis.
 
CORE RESPONSIBILITIES

  • A qualified applicant has a unique blend of skills that can both unlock the insights of data and tell the fantastic story contained within. 
  • You should be well versed in the application of analytic techniques and predictive modeling. 
  • We're looking for someone that does not limit their vision to how things are done today and instead focuses on the best ways to create value. 
  • You enjoy working directly with the people that use this information and know how to manage their expectations. 
  • We expect that you will contribute to the culture of learning and continuous improvement on the team. 
  • Also, if you don't already have it, that you will build strong business domain knowledge related to online advertising, campaign planning and execution, ad serving technologies and related topics.

 
QUALIFICATIONS

  • You have 3-8 years experience working in a business intelligence, operations management, or data analytics capacity.
  • Experience with statistical and data analysis tools such as:  R, SAS, SQL.
  • Experience with complied and dynamic scripting languages such as:  Java, C/C++/C#, Python, Ruby, Perl, JavaScript.
  • Experience working with big data frameworks - specifically within the Hadoop Ecosystem.
  • Your background, relevant work experience and education shows a mixture of math, engineering, curiosity, writing, and skepticism.
  • You have a practical ability to visualize data, communicate about the data, and utilize it effectively.
  • You are able to report on what data says *AND* explore data to see what it is telling you.
  • You feel comfortable operating with data that is sometimes incomplete.  Or messy.  Or both.
  • You have some data grappling skills (moving data around and manipulating it to some extent, etc).
  • You have knowledge of statistics, as well as experience with forecasting and prediction.
  • You have excellent written and verbal communication skills, with an ability to express business concepts in technical terms (and vice-versa).

 
Bonus items:

  • You have experience with the Pentaho BI Suite (or similar toolset).
  • You have experience working in on-line advertising. 

 
ABOUT THE TEAM

The Business Intelligence team is responsible for transforming Centro's data into actionable information across the organization.  This ranges from daily performance reports to real-time historical analysis.  Currently we use the Pentaho suite as our business intelligence platform and PostgreSQL for our database platform.  We believe in Agile software development and use Scrum as our project management methodology.  'Inspect and Adapt' is more than just a catch-phrase to us.  We are willing to have every problem under the sun exactly once, in exchange for never having the same problem twice.
 

 
 

Centro is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of race, gender, age, disability or any other basis protected under the law.

Wednesday, November 5, 2014

Job Application for Engineering Manager, Data Infrastructure at Twilio

About us:

  • Twilio is migrating the communications industry from its 150-year-old legacy in hardware to its future in software. With our cloud communications platform, we fundamentally change how businesses build solutions for their communications needs.
  • Twilio has virtualized the entire telecommunications infrastructure stack into a set of streamlined cloud APIs, introducing agility, global reach and cost savings of flexible, multi-tenant cloud software to the traditionally expensive and slow moving field of telecommunications.
  • Hundreds of thousands of developers have incorporated Twilio into their companies and products, deploying everything from complete call centers to work scheduling applications, from mobile marketing and lead management to tools that improve customer security.
  • Our customers are the innovators you recognize and respect, from start-ups like Uber, Box and Airbnb, to the agile enterprises including Coca-Cola, the Home Depot, Alaska Airlines, Walmart and more.
  • Come help us transform this 1.3 trillion dollar industry with the power and flexibility of software.

About the job:

    • Twilio is seeking an Engineering Manager to lead our Data Infrastructure team.
    • This is a leadership role, reporting to the Sr. Director of Common Services, focused on nurturing and expanding a team of engineers, providing people management, and driving projects to successful, on-time delivery through our agile process.
    • As a successful candidate for this role, you have demonstrated a talent for balancing long-term strategy with short-term objectives.
    • You have a proven track record of facilitating high-performing teams in tactical execution of a development plan.
    • You have been a key part (as hiring manager or technical lead) of building and executing on a hiring plan.
    • You have managed team dynamics in a technical, high growth environment.
    • You have led teams through stressful situations and have demonstrated the ability to teach sound decision making.
    • Twilio is a company built by developers for developers. You must not only have the professional expertise to understand your team’s engineering and business challenges, but also the technical acumen to build great software.

Responsibilities:

    • The Engineering Manager role at Twilio is about shipping high-quality products and providing team leadership.
    • Take personal responsibility for the work delivered by your team.
    • Manage your direct reports in an empathetic, high-touch way, including weekly/bi-weekly 1:1s. Coach and unblock them on a daily basis. Encourage and teach them to drive to complete key objectives. Assist in their longer term career and skills development. Excite them with new challenges and opportunities.
    • Help your team create, maintain, own and operate your team’s data-centric systems and services in production.
    • Partner with the Technical Program Manager to break epics into smaller chunks and drive them to completion in a timely fashion.
    • Lead the Scrum process and facilitate product and architecture reviews.
    • Recruit new team members, own their onboarding, and make them successful.
    • Anticipate changing directions and priorities, and manage in the face of uncertainty.
    • Play an active role in fine-tuning Twilio's process with the rest of the R&D leadership.

Requirements:


    • Minimum of 5 years as a manager with a prior background in hands-on software engineering. You're not necessarily a software engineer today, but you've definitely written code before.
    • Proven track record as an engineering leader for a team with 5+ members.
    • Stellar communication, organization and management skills.
    • Deep knowledge of agile software development processes and tools like Git, Jenkins and Jira.
    • Solid understanding of continuous integration and deployment practices.
    • Enthusiasm for working in a high profile, fast-paced startup culture. We ship products on a daily basis, with tight schedules, small teams, and a very large user base.
    • Hands on. Passionate. Persistent. Creative. You get things done - you are a DOer.

Bonus points:


    • Passionate about data at scale, data communications and parallelized processing.
    • Basic to intermediate knowledge of data warehouse systems, data management, ETL and big data.
    • You still write code for fun.
    • You’re interested in a range of database technologies and use cases for relational, key-value and columnar data stores.
    • You have experience writing web applications and ETLs.
    • You’ve created software following agile software development practices.

    Perks:
  • Competitive benefits, including medical, dental, vision, 401k and life insurance.
  • An Amazon Kindle, $30/month to spend on books and a Twilio track jacket after demoing your first Twilio app in front of the company!
  • Pre-tax commuter benefits.
  • Catered lunches and a weekly team dinner featuring invited technology and entrepreneurial speakers.
  • Excellent gear (we ❤ Apple computers and big monitors — two if you need 'em).
  • A strong belief in life/work balance.

*LI-AB1

--

Twilio is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status and operate in compliance with the San Francisco Fair Chance Ordinance.

Tuesday, November 4, 2014

[Prezi] Data Engineer - Budapest

Prezi is the zooming presentation software that uses an open canvas instead of traditional slides to help people explore ideas, collaborate more effectively, and create visually dynamic presentations.  Founded in 2009, and with offices in San Francisco and Budapest, Prezi provides its users a visually engaging, personalized, way to express their ideas anytime, anywhere. The company’s vision extends well authoring software alone into becoming the inspiration and enabler of world-changing ideas for people, organizations and businesses.

Prezi has enjoyed explosive growth and developed a rapid following of passionate users.  More than 40 million people from over 190 countries use Prezi from their desktops, browsers, iPads and iPhones.

Prezi is rapidly adding new users each month, and more than 1 Prezi is created every second.  The company  has over 150 employees, and is backed by premier investors, including Accel Partners, Sunstone Capital (based in Copenhagen), and TED.


We are looking for talented software engineers to join our Data Infrastructure Team. 


Responsibilities: 

- Participate in building a big data infrastructure as a service for Prezi.

We believe that data analytics should be easy for both technical and non-technical people and the tools we work on aim to make this possible.

- Keep petabyte-scale data flowing through our pipeline.

We have hundreds of data-analytics jobs running every day. Flowkeeper, our home grown data platform takes care of all data flows running correctly and reports arriving on time.

- Participate in the development and operation of an ETL solution with such complexity.

- Develop and maintain new data tools to ensure that Prezi gets more and more data driven. 


We work with:

- JavaScript, Python, Go, Bash

- Amazon Web Services: EC2, EMR, Redshift

- SQL, Hadoop, MapReduce


Required skills: 

- Enthusiasm for DevOps: we write it, we run it!

- A solid background in software engineering.

- Get it done behaviour: you are smart and quick with a focus on delivery. 

- Unix skills are a big plus. 

- Brave enough to try new technologies. You will love to work with us if you are not tied to a single stack. 


What we offer you:

- Commit on your first day

- Be empowered to affect your team's strategy 

- Immediate impact - your work will be seen by more than 40 million users as
soon as you deploy

- Have end-to-end responsibility

- Participate in fellowship trips and work in our San Francisco office

- Paid trips to professional conferences anywhere in the world

- Flexible working hours in our beautiful office environment or occasionally from home

- Enjoy free quality food in our bistro

- Receive stock options to become your own employer

- Be yourself - we are proud to be colourful!

Sunday, November 2, 2014

[New Relic] Data Scientist – Customer Success

New Relic
Data Scientist – Customer Success
San Francisco, CA


Are you passionate about business analytics and about driving data insight through to impact business results?? Are you ready to take the next step in your career where your analytic capabilities will be a key part of our commitment to continuous improvement and help maintain our incredible growth (more than 100% each year)?

In this job, you will provide rich; data based insights that influence our strategy, our business processes, and our relationship with tens of thousands of customers worldwide.

We are passionate about our customers and go way and beyond to ensure they are successful. Check out what our customers are saying:

http://newrelic.com/about/customers

We are looking for a data scientist extraordinaire to join our Customer Success team to implement, refine and advance analytical techniques to turn huge volumes of data into actionable business recommendations – both for our customers and our company.

The right candidate has exceptional analytical skills and can communicate in a way that is engaging, and can translate scientific findings to non-technical stakeholders. Had success in a role focused on capturing and transforming client feedback into actionable themes to drive cross-company solutions focused on client experience.

Some of the things you’ll be doing:
  • Working with large sets of data to determine key actionable insights around support data and user product activity
  • Determining industry-specific customer trends on support effectiveness and best practices
  • Synthesizing internal Customer Success and Support data to find key improvement metrics on process and product
  • Driving the optimization of key customer success metrics like churn, NPS scores, and product usage.
  • And that’s just the beginning….

Skills and experience required for the role:
  • 5+ years experience in analytics, market intelligence and analytics, financial modeling or statistical analysis
  • Experience in working on predictive algorithms with real customer data
  • Hands-on experience in using predictive techniques, such as logistic regression, Na-ve Bayes, SVM, decision trees and neural networks
  • Certified in Net Promoter Score methodology preferred
  • Expert skill level in Excel, Access and PowerPoint (in fact, needs to be a Pivot table Ninja)
  • Strong oral and written communication skills and critical thinking
  • Ability to affect organizational change through influence and data
  • Proficiency in SQL and at least 1 scripting language (i.e. R or Python). Javascript, Pandas, and/or working within the map/reduce paradigm, a plus.
  • Bachelor’s Degree in business, computer systems, or equivalent experience
A little about us:

New Relic is a software analytics company that, on behalf of our customers, makes sense of billions of metrics about millions of applications, all in real time. Our comprehensive SaaS-based solution for web and mobile applications consolidates the performance monitoring data into a single, powerful interface. Our 90,000 customers use New Relic every day to optimize more than three million applications.

New Relic is a San Francisco Best Places to Work award winner, an Oregon “Top Workplace” award winner, named a leader in the Gartner’s 2013 “Magic Quadrant” for APM companies, a Top 100 OnDemand Company, Best of SaaS (THINKStrategies), Top 100 Coolest Cloud Computing (CRN); 10 Cloud Management Companies to Watch (NetworkWorld) – the list of accolades goes on. More important than all of that: we provide challenging work, opportunities to learn, high quality teammates, a standard-setting product, and a company on the move.

Our office is in the tech-rich urban center of San Francisco, with easy commute access and a plethora of good eats. We provide competitive compensation, stock options and big-company benefits (medical, dental, etc) -- all while maintaining the energy, agility, and fun of a start-up. We can help with relocation and are open to H1-B transfers.

New Relic is most decidedly an equal opportunity employer. We eagerly seek applicants of diverse background and hire without regard to race, color, gender, religion, national origin, ancestry, citizenship, individuals with disabilities, age, sexual orientation, protected veterans, or any other characteristic protected by law. Note: Our stewardship of the data of many thousands of customers means that a criminal background check is required to join New Relic.  We will, nonetheless, consider qualified applicants with arrest and conviction records in accord with applicable law, including the San Francisco Fair Chance Ordinance.

To get started, click on the link below. To fast track your application, let us know in your cover letter why this job, product, and/or company is of particular interest to you. We look forward to talking!

#LI-LM1

[Atlassian] Senior Data Warehouse Developer


Senior Data Warehouse Developer

Location: Sydney
Job Code: QHP-1553
# of openings: 1

Description

  • Do you dream about Data and talk to your friends in SQL?
  • Do you want to inspire and be inspired by working with the best and brightest?
  • Would you rather work for David than Goliath?

Atlassian is looking for a Senior Data Warehouse Developer to join our team managing our corporate data warehouse that powers crucial business decisions throughout the organisation. 

Position Summary

You'll be the genius who understands all the data in Atlassian, knows where to find it and manages our ETL processes that bring the data into our central data warehouse. You'll then use tools and systems to convert that data into useful metrics that people throughout the company can use to track their our corporate success.

What you'll do:

Working in our Sydney office, you will join our Analytics and Integration development team. You'll learn about all the source systems that feed our data warehouse and the business logic behind our existing data transformations. Then, you'll drive the continuous improvement of the data warehouse by enabling near real-time CDC data updates and detecting errors in the data streams. You'll have the opportunity to design new schemas for the data warehouse that will support other initiatives such as an improved CRM system and automated dashboards. On an on-going basis, you'll be responsible for improving the data warehouse by adding new data sources, coding business rules and producing new metrics that support the business.

You'll also work closely with our Java Developers who build and manage Atlassian's e-commerce and customer management systems. Where necessary, you'll use your Java skills to extend the capabilities of our ETL toolset to connect to new systems and technologies and enable an "information bus" used by various IT systems. You'll need to be technical at heart, comfortable with the idea of extending systems by writing code, rather than just relying on in-built functionality.

We're looking for someone with variety in their skill-sets. If you've only used one database, one ETL tool and one programming language, then you're probably not right for this role. We're looking for somebody who can demonstrate their willingness to go "outside the box", even if it was just tinkering on your computer at home to connect to weird open-source projects. You don't have to be an expert in all systems, but we'd rather you've had exposure to many things so you can apply best practice for a variety of situations.

Who we are looking for:

Key Skills

  • Excellent communication skills. You're just as comfortable leading a design session, training new team members and evangelizing data to key users.
  • You're flexible and don't let system limitations stop you from getting things done.
  • You think in SQL.
  • You've explored a variety of database technologies (We primarily use PostgreSQL but also connect to other systems).
  • You have extensive experience with data quality and data-manipulation (ETL) tools that convert data into actionable information.
  • You can empathize with business users and anticipate how they'd like to use information.
  • You're skilled in some scripting languages (JavaScript, Python, Shell, etc.) that you use to supplement system capabilities.
  • You're the type of person that publishes good documentation to help people use the information you provide.

Preferred Skills

  • Experience using Pentaho Kettle 
  • You've used version control systems like Git and Subversion.
  • Java development experience for building add-on functionality into the ETL tools
  • Experience retrieving data from remote systems via API calls (eg SOAP, REST)
  • You're personal friends with Kimball and Ross
  • Experience integrating with Salesforce and NetSuite

Love going to work?

Imagine working in a place where you get to do what you love every day. We are a seven-year young software development company revolutionising the way software is sold and used by businesses world-wide. With a range of innovative software products, we have over 15,000 customers globally including NASA, Sony, the Apache Foundation and the United Nations. We are building a different kind of software company — one that listens to client needs, values innovation and solves customer problems with brilliant simplicity.

We are not your typical company and proud of it! If you start your career with Australia's fastest growing global software company, you can expect a fast paced and exciting work environment which stays true to our entrepreneurial roots. You won't get frustrated with bureaucracy and slow decision making, and we encourage creative thinking. We want to know your opinion — on everything we do!

Your cover letter should address the points listed above ("Who we are looking for") and demonstrate what you know about our company. We're looking for somebody who is just as excited about working for Atlassian as they are excited about the role itself. Also, please include the code-word "trumpet" in your cover letter to let us know you've read this far. (You'd be amazed how many people don't!)

Your dream job?

With offices in Sydney, San Francisco, Amsterdam, Austin and Gdansk we offer global opportunities and the chance to work with like-minds from different cultures. Each day you come to work at Atlassian, you will be coming to work in an open plan office filled with lots of natural light. When you are not sitting in your comfy ergonomic Aeron chair, working on your large LCD monitors and the operating system of your choice, there will be plenty of decisions to make. Maybe you'd like to participate in a lunchtime card game? Would you rather play a Wii Sports game or be a guitar hero? If hunger strikes, head to the kitchen for drinks, fresh fruit, snacks and more. Your choice!

Check out a short video created by Atlassian staff on our values. Also, look through our website to find out more about life at Atlassian.

“I joined Atlassian because I was looking to move away from the big corporate world of banking, Finance and Government where the process and mind set are so restricting. I like getting things done, that’s why I like Atlassian.“
Trevor Campbell,  Senior Developer.
 
“Why do I love where I work? Because the people are wonderfully good natured and generally awesome.”
Steve Haffenden, Front End Developer.
 
"I feel constantly blessed to be part of such a collection of intelligent, passionate, helpful and hilarious people. It's rare to find a bunch of people so committed to the products they make - it's infectious."
Samantha Thebridge, UI Designer.




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