Senior Data Scientist

Justworks•New York, NY

2d•$167,500 - $184,250•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. 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. You believe that the best data science work accelerates learning, improves decision making, and ultimately drives measurable impact for customers and the business.

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
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

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.