GitHub helps companies, organizations, and groups of individuals succeed by allowing them to build better software, together. The engineering organization is looking for an experienced Senior Manager to join the Data organization and partner closely with our Director of Data Science to manage part of the organization.

The Data Science team is well-established and is rapidly expanding in scope. The team is composed of talented data scientists and analysts that work in conjunction with our Data and Software Engineers to synthesize information from our data that influences decisions leading to products built that developers love. The team operates in a vertical pillar model in partnership with different Product and Revenue functions: In each, members report centrally but are directly embedded with our partners allowing for deep domain expertise to fluidly translate into statistical and machine learning applications.

• Developer Cloud: Focused on leveraging data science and machine learning to optimize our product adoption footprint and it’s profitability across key investment areas such as GitHub Actions and GitHub Codespaces.
• Security: Focused on applied data science work to reduce the false positive rate of suite of detection products: Secret Scanning, Code Scanning, etc to empower our Developer CommunIty.
• Communities: Focused on increasing engagement and contribution on the platform via optimizing the way users discover, find and interact with each other and code.
• Product Insights and Research: Focused on universal metric measurement and experimentation to improve the way we drive engagement of our product surface area, convert and retain customers across their journey with our SKUs and consumable products.

Your job will be to lead both the Developer Cloud and Security pillars within Data Science at GitHub and partner with Data Engineering teams in these respective pillars. The Data Science team is highly distributed and the right candidate will thrive in an environment of asynchronous communication. We expect you to have excellent written communication skills and be able to create working relationships with coworkers in locations around the globe. In this role also you will lead, provide guidance, support and advice to your team. 

Responsibilities:

• Guide and facilitate setting the direction for the team by understanding how company and Data org objectives map to team and group priorities.
• Contribute to and create alignment across the team and with other teams in the Data organization and beyond.
• Develop and improve on processes to manage the team’s progress and ensure that it is resourced correctly.
• Ensure that individuals learn, grow, and advance in their respective careers.
• Cultivate an environment where team members are empowered and demonstrate a strong sense of ownership and belonging.

Minimum Qualifications:

• 4 or more years experience managing data science or engineering teams.
• Strong understanding of statistical methods, theory, and application.
• Passionate about fostering good data science and engineering practices that scale and encourage reproducibility.
• Experience translating business and product questions into applications solvable with data science.
• Strong ability to communicate with senior management and distill complexity into easy to understand concepts that demonstrate impact.
• Enthusiasm for providing feedback, teaching others, and learning new techniques.

Preferred Qualifications:

• Experience managing distributed remote teams.
• Experience deploying and maintaining ETL processes and machine learning models in a cloud environment.
• Proficiency with languages such as Python, R, and SQL
• Nothing in life is perfect, including this job description. You may be an excellent fit even if you don’t meet all of these qualifications.
• We look forward to meeting you and hearing about your unique skills and experiences!

Ability to meet GitHub, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:  Microsoft Cloud Background Check: This position will be required to pass the Microsoft, GitHub’s parent company, Cloud Screen upon hire/transfer and every two years thereafter.

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