data
Posted YesterdaySenior Data Scientist
at Justworks
New York, United StatesHybrid
Responsibilities
- Lead end-to-end analytics projects, from defining metrics to analyzing data and delivering insights
- 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
- Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.
Requirements
- 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.
- You're an experienced data scientist who gets excited about understanding how customers interact with a product – and using that understanding to help teams make smarter decisions.
- You're a trusted data storyteller: you can write a tight SQL query, design a rigorous experiment, and then turn those findings into a narrative that moves a roadmap.
- 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
- Proficient in at least one statistical programming language (Python or R) Fluent in SQL
- 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 Prior