Job description

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 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. This is a hybrid role with the expectation of working 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 and Operations teams to define KPIs • Work with evaluation data team to plan short and long term annotation work and define evaluation schemas • Communicate analysis results and outcomes clearly and tailor based on the audience • Help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools • Mentor other members of the team and raise the bar for data storytelling, analytical rigor, and stakeholder influence across the org What we look for: • 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 Bonus (Nice to have): • 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 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) Notice to Candidates: To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page . Please note that EvenUp may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy. 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.

Requirements

Must-haves

This is a hybrid role with the expectation of working 3 days a week from one of our office hubs in San Francisco or Toronto.
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 evaluation data team to plan short and long term annotation work and define evaluation schemas
Communicate analysis results and outcomes clearly and tailor based on the audience
Help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpythonmachine learning

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave