Senior Manager, Data Science

What you'll do

• Set the team’s vision, roadmap, priorities, and standards for experimentation, causal inference, metrics, and production modeling.
• Partner with Product and Engineering leaders on complex questions, selecting analyses, experiments, or production models as appropriate.
• Hire, coach, and retain the team; build career paths and a culture of accountability and clear communication.

What they ask for

• 10+ years in data science, product analytics, or a related field, including 3+ years managing data science or analytics teams in B2B SaaS or tech.
• Deep expertise in statistics and experimentation, including hands-on use of quasi-experimental methods.
• Expert SQL and strong Python, with experience taking ML models to production.
• Strong product sense, communication, judgment in ambiguous situations, and fluency with AI tools.

Nice to have

• Experience with developer tools, DevSecOps, or product-led growth; or measuring adoption and quality of AI-powered product features.
• Thought leadership in data science or analytics.

Pay

$152,800 — $259,200 USD (base salary)

Tools

SQL, Snowflake, Python, GitLab

AI focus

Use AI tools with sound judgment; the team measures adoption and quality of AI-powered product features and focuses on experimentation, causal inference, production models, and recommendations as AI automates routine reporting.