Data Scientist, Github
$97.9-259.9k
AI-powered developer platform to build, scale, and deliver secure software
Job no longer available
AI-powered developer platform to build, scale, and deliver secure software
1001+ employees
Job no longer available
$97.9-259.9k
1001+ employees
Company mission
To help every developer—regardless of experience level—learn, code, and ship software effectively.
Role
Who you are
- Bachelor's Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 4+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques), forecasting, capacity planning, or workforce analytics or related field
- OR Master's Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 2+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field
- OR Doctorate Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field
- OR equivalent experience
Desirable
- Strong proficiency in data analysis and visualization tools (e.g., Power BI, SQL, Excel)
- Excellent problem-solving and communication skills, with the ability to influence stakeholders and present insights with clarity
- Experience building forecasting models and translating outputs into actionable recommendations
- Forecasting in support operations experience
- Experience in Python, MySQL or similar
What the job involves
- As a Data Scientist III, you will help build industry-leading solutions that empower GitHub’s Enterprise and Developer customers worldwide
- The ideal candidate will leverage advanced data science and business acumen to address operational and product challenges, with a focus on support forecasting, capacity planning, product adoption, and product health
- Drives the development and refinement of predictive models to forecast support ticket volume, workload trends and resource needs
- Consider the impact of AI and automation in forecasting models
- Aligns staffing and scheduling with demand, balances workloads across teams, and provides actionable insights to the business stakeholders to facilitate the right business decisions
- Identify and acquire data necessary for analysis, perform transformation and exploration, while adhering to GitHub's privacy policies
- Build, maintain, and refine forecasting models for the business trends and business resource needs. Translate forecasts into actionable staffing and scheduling recommendations aligned with service-level goals
- Deliver forward-looking insights to highlight risks and enable proactive action
- Present findings and recommendations through visualizations, dashboards and PowerBI reports to support decision making for strategic and operational audiences
- Collaborate with Support Leadership, Analytics, and cross-functional partners to align on forecasting assumptions, methodologies, and resource planning priorities and drive operational excellence through careful forecasting, proactive monitoring, and diagnostics
- Collaborate closely with the engineering team to consider upcoming AI automations and their impact on support capacity needs
- Collaborate with others to perform data science experiments using established methodologies and statistics, identifying appropriate tools and techniques
- Leverage broad and deep knowledge of modeling techniques for forecasting, and scaling workforce. Consider and account for risks of data leakage, bias/variance tradeoff, and methodological limitations
- Write efficient, readable and extensible code that spans multiple features/solutions, adhering to software engineering concepts and practices
- Build documentation for knowledge transfer and deployment of predictive analytic models
Our take
GitHub was founded to make a developer’s job easier with open and asynchronous communication, distributed version control, and source code management with Git. In the first year alone, 100,000 users were pushing code on the site.
GitHub has quickly become the world’s most popular platform for developers to collaborate on open-source projects from anywhere. Nearly every major company including Facebook, Google, and Apple hosts open-source projects on GitHub.
Github's work culture reflects its global community, with employees collaborating remotely from all over the world. In 2018, Microsoft acquired the company as part of its broader strategy to enhance cloud computing services. Since then, GitHub has been dedicated to evolving its platform, consistently investing in ongoing development to better serve its users.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
18% employee growth in 12 months
Company
Funding (2 rounds)
Jul 2015
$250m
SERIES B
Jul 2012
$100m
SERIES A
Total funding: $350m
Company benefits
- Flexible time away to support balance in your work and life
- Clear diversity, inclusion, and anti-discrimination policies backed by business practices and company culture
- Five months of paid family leave to all new parents with the option to use it all at once or throughout the child’s first year
- Family forming benefits that cover fertility, infertility, adoption, and surrogacy costs and support
- Mental health benefits that offer resources and support and cover therapy and coaching sessions for you and your dependents
- Generous 401(k) matching with 50% match up to the IRS 402(g) limit (US; competitive non-US pension options internationally)
- Employee stock purchase plan that lets you purchase Microsoft stock at a discount. (Microsoft is our parent company.)
- 100% of medical, dental, and vision insurance premiums covered by GitHub for you + your dependents. (Includes gender-affirming benefits)
Company HQ
South Beach, San Francisco, CA
Leadership
Thomas Dohmke
(CEO)Currently a Board Member at Spice AI. Previously a Principal Director of PM at Microsoft, Co-Founder at HockeyApp / Bit Stadium GmbH and Codenauts GmbH.
Share this job