Senior Data Scientist

Justworks is looking for a Senior Data Scientist to join our Product Analytics group within the Data & Analytics team. You'll partner across Product, Engineering, Design, Finance, Marketing, and Revenue to define success metrics, run experiments, size opportunities, and build a data-informed approach to how we grow and improve our product.

Responsibilities

Lead end-to-end analytics projects, from defining metrics to analyzing data and delivering insights; Partner with product leaders to define and measure goal metrics; Design and analyze A/B tests, quasi-experiments, and causal analyses to measure the impact of product changes and help teams understand not just if something worked, but why; Accelerate product learning cycles through frameworks for experimentation, measurement, and iteration so teams can move faster without sacrificing rigor; Analyze strategic opportunities to inform roadmap prioritization; Build compelling narratives from complex data, presenting findings in ways that influence decisions with both technical and non-technical audiences, from product pods to senior leadership; Identify friction and opportunity across the customer lifecycle, from onboarding flows to feature adoption to retention signals, and translate what you find into actionable strategies; Develop and apply AI-assisted approaches to analysis, insight delivery, and data workflows to multiply your impact and expand the reach of data science across the organization; Partner with data engineering and analytics engineering to improve data foundations, instrument key events, and ensure the right data exists to answer the questions product teams are asking; Perform other related responsibilities as needed based on department and/or organizational needs.

Requirements

7+ years of experience as a data scientist or analyst, with a track record of driving business impact through statistical analysis, experimentation, and predictive modeling; Strong expertise in experimental design, causal inference, and statistical methods — you know how to draw defensible conclusions from imperfect data; Excellent communication and data storytelling skills — you can translate complex findings into clear narratives that influence strategy and decisions at all levels of the organization; Strong business acumen and the ability to connect analysis to product strategy, roadmap tradeoffs, and business outcomes; Fluent in SQL; Proficient in Python for reproducible analysis, statistical modeling, experimentation, and automation; Familiarity with a cloud-based data stack (e.g. Snowflake, dbt); Demonstrated curiosity about AI tools and emerging technologies, with a track record of applying them to accelerate analysis, improve rigor, or expand the reach of data science work

Nice to have

Prior experience in a high-growth startup or SaaS company is preferred

Benefits

Welcoming and casual environment; Great benefits; Wellness program offerings; Company retreats; Ability to interact with and learn from leaders in the startup community