opengreenhousebaincapitalventures
Senior Data Scientist
Justworks
LocationNew York, New York, New York, NY
Last observed2026-06-29 00:43:15.027413
Job idbaincapitalventures-justworks:greenhouse:7960800
Who We Are 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. Our Values If this sounds like you, you’ll fit right in. Department Technology, Data & Analytics Who You Are 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. 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. Your Success Profile What You Will Work On 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. How You Will Do Your Work In the Data Scientist role, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies: Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome. Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism. Influence and leadership - fostering a community of knowledge-sharing, collaboration, men
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