Senior Data Scientist

Justworks•New York, NY

11d•$166,000 - $214,000•Hybrid

About The Position

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. At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We're helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team.

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 Haves

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

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.