About the role
EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com . We’re looking for a Senior Data Scientist to work a hybrid schedule, with three days per week in our San Francisco or Toronto offices, and to translate complex healthcare and product data into clear, actionable insights that drive strategy and business impact. You are a fit if you thrive in ambiguous, cross-functional environments, own analytical deep work end to end, and enjoy influencing decisions through rigorous, well-communicated analysis. What you’ll do: Translate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes to inform product direction and business priorities. Partner with Product, Engineering, and Operations teams to define KPIs. Work with the evaluation data team to plan short and long-term annotation work and define evaluation schemas. Communicate analysis results and outcomes clearly and tailor messaging based on the audience. Help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools. Mentor other analysts and raise the bar for data storytelling, analytical rigor, and stakeholder influence across the organization. What we look for: Bachelor’s degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering, or a related field, or equivalent years of practical work experience. 5+ years of experience using SQL or similar big data querying languages. 5+ years of experience with a programming language such as Python or R. 5+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques. Experience using machine learning and statistical analysis for building data-driven product solutions or conducting methodological research. Exceptional verbal and written communication skills, with the ability to distill complex findings from data and models into compelling insights for technical and non-technical audiences.
