Senior Data Scientist, EvenUp

• 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

Desirable

• 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 foster 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. In this role, you will be the domain owner of medical information and plaintiff treatments
• You’ll play a key role in understanding the treatment journey of plaintiffs, the impact on final settlements, and leveraging our data sets into actionable insights that deliver business value
• 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