Senior Manager, Data Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the Product Data Science team, consisting of 6 Data Scientists within GitLab's data organization, reporting to the Director of Data Science.

• Establish the analytical agenda for product domains and ensure that the team's contributions influence decision-making.

• Define the standards of excellence for a Data Scientist who integrates analytics and data science, and elevate the team to meet these standards.

• Develop a long-term vision and roadmap for Product Data Science, aligning team objectives with the company's strategic goals.

• Manage prioritization and trade-offs across various product areas, adjusting the team as priorities evolve.

• Collaborate with Product and Engineering leadership on complex and pressing inquiries, choosing appropriate deep dives, experiments, or production models.

• Identify risks and resource gaps proactively, presenting senior leaders with clear alternatives.

• Recruit, mentor, and retain a high-performing team; create career development paths and respond to team feedback.

• Foster a culture of trust characterized by urgency and accountability, ensuring predictable communication and timely, high-quality outcomes.

• Establish benchmarks for experimentation, causal inference, metric definition, and production modeling.

• Review models, rigorously test analyses, and write queries hands-on when necessary.

⛳️ Requirements

• Over 10 years of experience in data science, product analytics, or a related field, including at least 3 years managing data science or analytics teams in B2B SaaS or technology environments.

• Strong product intuition and a proven history of being a trusted collaborator with Product and Engineering leaders.

• Outstanding communicator capable of simplifying complex problems and insights for diverse audiences, from Product leaders to executives, while mentoring others in effective communication.

• Thrives in uncertain conditions: structures ambiguous problems, gathers relevant information, and makes informed decisions on high-stakes, cross-team challenges.

• Possesses the courage to challenge the status quo: presents alternative viewpoints, poses difficult questions, and encourages inclusive discussions.

• Extensive knowledge in statistics and experimentation, including practical experience with quasi-experimental methods (e.g., difference-in-differences, synthetic control, propensity score matching).

• Proficient in SQL (Snowflake preferred) and strong in Python, with experience in deploying ML models into production.

• Well-versed in AI tools, demonstrating sound judgment on the reliability of AI-generated outputs.

• Capable of utilizing GitLab, thriving in a fully remote, asynchronous work environment, exemplifying GitLab's remote work competencies, and aligning with GitLab's values.

🏝️ Benefits

• Comprehensive benefits to enhance your health, finances, and overall well-being.

• Flexible Paid Time Off.

• Team Member Resource Groups.

• Equity Compensation & Employee Stock Purchase Plan.

• Growth and Development Fund.

• Parental Leave.