Senior Data Scientist
About The Position
EvenUp is hiring a Senior Data Scientist for its Analytics team. The team partners with Product, Engineering, Operations, and Executive teams to enable data-informed decision-making through data modeling, reporting, advanced analytics, and forecasting. In this role, you will work on EvenUp’s AI product suite, identify opportunities for proprietary data products, understand product usage, and turn insights into actions and feasible plans for new data products. This is a hybrid role, with an expectation of working three days per week from an office hub in San Francisco or Toronto. The role also involves improving EvenUp’s analytical foundation and mentoring team members.
Requirements
- Bachelor’s degree in a relevant technical field—such as statistics, mathematics, economics, computer science, or engineering—or equivalent years of practical work experience.
- At least 5 years of experience using SQL or similar big-data querying languages.
- At least 5 years of experience with a programming language such as Python or R.
- At least 5 years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling.
- Experience using machine learning and statistical analysis to build data-driven product solutions or conduct methodological research.
- Exceptional verbal and written communication skills, including the ability to distill complex findings from data and models into compelling insights for technical and non-technical audiences.
Nice To Haves
- Advanced degree in applied mathematics, statistics, actuarial science, economics, or a related field.
- Experience in a product-focused role or in the legal or medical domain.
- Strong mentorship and leadership skills, with a track record of elevating scientific standards and growing junior talent across teams.
Responsibilities
- Translate complex datasets into clear insights and strategic recommendations that drive measurable actions and outcomes and 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, tailoring communication to the audience.
- Help build and evolve the analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools.
- Mentor team members and raise standards for data storytelling, analytical rigor, and stakeholder influence across the organization.
Benefits
- Choice of medical, dental, and vision insurance plans for employees and their families.
- Additional insurance coverage options for life, accident, or critical illness.
- Flexible paid time off and sick leave.
- Short-term and long-term disability coverage.
- 10 US observed holidays and Canadian statutory holidays by province.
- Home office stipend.
- 401(k) for US-based employees and RRSP for Canada-based employees.
- Paid parental leave.
- Local in-person meet-up program.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
