Staff Data Scientist - Economist

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.

About the Team:

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 Staff Data Scientist / Economist to join our fast-paced, data-driven team. You will be a thought partner to senior leadership and shape the way we use economics and data science to drive long-term value and shape our product and monetization strategy. You’ll play a key role in understanding usage patterns in our platform via funnel analysis, causal analytics, etc, to ultimately improve activation, engagement and prevent churn.

The ideal candidate for this role will work at the intersection of data, economics, and strategy to drive high-impact decisions across pricing, growth, and product monetization. You will apply your expertise in causal inference, econometrics, and behavioral analysis to answer some of the most critical questions in our business.

This is a hands-on IC role with outsized ownership, ideal for someone who thrives on solving ambiguous problems, building clean data narratives, and pushing organizations toward better decisions with data.

Please Note: This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs in San Francisco or Toronto.

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, Ops teams and Executives to define KPIs and lead the analytics strategy for key product areas, including causal inference, cohort analysis, retention modeling and experimentation design
• Develop forecasts for ARR, conversion, churn, and usage using economic and behavioral data
• Collaborate with data engineering, analytics, and product to shape best practices in experimentation, forecasting, and decision support
• 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 org

What We’re Looking For

We’re looking for someone with deep expertise in both economics and applied data science, and the ability to frame business questions into well-scoped analytical or modeling problems.

• 6+ years of experience in data science, applied economics, or a related field (industry or post-PhD academic research), ideally in high-growth tech environments.
• Advanced degree (PhD preferred) in Economics, Econometrics, Statistics, or a related quantitative field
• Proven ability to identify and measure causal business impacts using appropriate statistical techniques, especially in complex or observational settings
• Strong statistical modeling skills (time-series, forecasting, survival analysis, Bayesian inference)
• Fluency in Python or R and SQL; experience with large-scale data systems
• Exceptional verbal and written communication skills - ability to distill complex findings from models and economic reasoning into compelling insights and communicate effectively with technical and non-technical audiences
• Demonstrated success influencing product, GTM, or commercial decisions with quantitative insights

Bonus Points

• Prior experience in SaaS or B2B subscription businesses
• Experience working in the legal domain
• Familiarity with BI tools (e.g., Looker, Tableau) and experimentation platforms (e.g., Optimizely, internal tools)
• Strong mentorship and leadership skills, with a track record of elevating scientific standards and growing junior talent across teams

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

• Choice of medical, dental, and vision insurance plans for you and your family
• Additional insurance coverage options for life, accident, or critical illness
• Flexible paid time off, sick leave, short-term and long-term disability
• 10 US observed holidays, and Canadian statutory holidays by province
• A home office stipend
• 401(k) for US-based employees and RRSP for Canada-based employees
• Paid parental leave
• A local in-person meet-up program
• Hubs in San Francisco and Toronto

Please note the above benefits & perks are for full-time employees

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.