GitHub has more than 22 million monthly developers who generate an abundance of data. We use that data to inform our product strategy, verify that what we're shipping is having the impact we want, and provide a more efficient and expansive experience for our users. As the Engineering Manager - Analytics & Data Science you'll lead a team of data scientists who work closely with our product managers and software engineers to analyze data, design statistical models, implement machine learning algorithms, and present findings. Our data work ranges from machine learning oriented recommendation and classification projects to insights oriented forecasting and decision making.
This role is based out of our San Francisco headquarters.
- Surface product insights through data inquiry and analysis
- Work with our data engineers to build upon our data collection, storage, and processing infrastructure
- Design and build repeatable processes for working with data
- Develop predictive modeling and machine learning solutions
- Communicate your work to the wider company
- Work closely with product and engineering to identify and solve relevant product questions
- Meeting 1-1 with team members on a regular basis
- Planning and supporting career development
- Giving guided performance feedback
- Serving as a coach and mentor
- Fostering a supportive environment that will allow engineers to do their best work
- Serving as hiring manager for the team
- Guiding the development team’s vision, best practices, and priorities
- 2+ years experience formally or informally managing a team
- Strong written and verbal communication skills
- Understanding of computer science fundamentals (data structures and algorithms)
- Understanding of statistical analysis, familiarity with R, MATLAB, Stata, etc. preferred
- 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.)
- Experience working with distributed teams.
Who We Are:
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over 22 million people use GitHub to build amazing things together. With the collaborative features of GitHub.com and GitHub Business, it has never been easier for individuals and teams to write faster, better code.
What We Value:
Collaboration: We believe the best work is done together.
Empathy: We believe in putting people first.
Quality: We believe in setting the standard for excellence.
Positive Impact: We believe in making the world a better place through our work.
Shipping: We believe in creating things for the people using them.
Why You Should Join:
At GitHub, we constantly strive to create an environment that allows our employees (Hubbers) to do the best work of their lives. We've designed one of the coolest workspaces in San Francisco (HQ), where over half of our Hubbers work, snack, and create daily. The other half of our Hubbers work remotely in 18 countries across the globe.
We are also committed to keeping Hubbers healthy, motivated, focused and creative. We've designed our top-notch benefits program with these goals in mind. In a nutshell, we've built a place where we truly love working, we think you will too.
GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
*Please note that benefits vary by country, if you have any questions, please don't hesitate to ask your Recruiter!