About GitHub
As the global home for all developers, GitHub is the complete AI-powered developer platform to build, scale, and deliver secure software. Over 150+ million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate and experiment across 420+ million repositories. With all the collaborative features of GitHub, it has never been easier for individuals and teams to write faster, better code.
Locations
In this role you can work from Remote, United States
Overview
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.
Responsibilities
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.
Qualifications
Required Qualifications
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.
Preferred Qualifications
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
Compensation Range
The base salary range for this job is USD $97,900.00 - USD $259,900.00 /Yr.
These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.
GitHub values
- Customer-obsessed
- Ship to learn
- Growth mindset
- Own the outcome
- Better together
- Diverse and inclusive
Manager fundamentals
- Model
- Coach
- Care
Leadership principles
- Create clarity
- Generate energy
- Deliver success
Who We Are
GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub.
Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!).
At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms.
Join us, and let’s change the world, together.
EEO Statement
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!