Senior Data Scientist

GitHub

(San Francisco, California)
Full Time
Job Posting Details
About GitHub

GitHub is the best place to build software together. Over 12 million people use GitHub to share code and build amazing things with friends, co-workers, classmates, and complete strangers. With the collaborative features of GitHub.com, our desktop and mobile apps, and GitHub Enterprise, it has never been easier for individuals and teams to write better code, faster.

Summary

As a Data Scientist you'll work closely with our product managers and software engineers to implement machine learning algorithms, design statistical models, analyze data, and present findings. Our data work ranges from recommendations and classification to forecasting and decision making. We're hiring a number of positions and so are seeking candidates with significant experience in one or more of these areas.

Responsibilities
  • Surfacing product insights through data inquiry and analysis
  • Working with our analytics infrastructure engineers to build upon our data collection, storage, and processing infrastructure
  • Developing predictive modeling and machine learning solutions
  • Communicating your work to product managers and the wider company
  • Work closely with product and engineering to identify and solve relevant product questions
Ideal Candidate
  • Strong written and verbal communication skills
  • Understanding of computer science fundamentals (data structures and algorithms)
  • Familiarity with distributed systems
  • Proficiency in one or more programming languages
  • Fluency in SQL and understanding of relational database technology and query planning (e.g. MySQL, Postgres, Redshift, Hive, Spark SQL, etc.)
  • Understanding of efficient computation en masse (e.g. Hadoop, Tez, Kinesis, Samza, etc.)
  • 2 or more years experience using machine learning or quantitative analysis to derive insight from complex data from varying sources

Questions

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San Francisco, California
Skills Desired
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  • Algorithms
  • Analytics
  • Data Structures
  • Hadoop
  • Insights
  • MySQL
  • Proficiency
  • Quantitative Analysis
  • SQL
  • Machine Learning
  • Redshift
  • Predictive Modeling

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