Senior Data Scientist

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.

The Analytics team at Evenup plays a critical role in driving data-informed decision-making across the organization. We partner closely with Product, Engineering, Operations, and Executive teams to uncover insights, build scalable data solutions, and enable a culture of data-driven decision making and continuous improvement. Our team is responsible for everything from foundational data modeling and reporting to advanced analytics and forecasting.

We’re looking for a Senior Data Scientist to join our fast-paced, data-driven team. You will be working on our AI product suite and identifying opportunities for proprietary data products. You’ll play a key role in understanding the key product usage, turning insights into actions and forming feasible plans for new data products.

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  Translate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes to inform product direction and business priorities

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  Partner with Product, Engineering and Operations teams to define KPIs

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  Work with evaluation data team to plan short and long term annotation work and define evaluation schemas

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  Communicate analysis results and outcomes clearly and tailor based on the audience

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  Help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools

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  Mentor other members of the team and raise the bar for data storytelling, analytical rigor, and stakeholder influence across the org

• Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or 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 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 performing methodological research

• Exceptional verbal and written communication skills - ability to distill complex findings from data and models into compelling insights for technical and non-technical audiences

• Advanced degree in applied mathematics, statistics, actuarial science, economics or related field

• Experience in a product-focused role in or legal medical domain

• Strong mentorship and leadership skills, with a track record of elevating scientific standards and growing junior talent across teams