Staff Data Scientist

Posted 17 Days Ago
Be an Early Applicant
Toronto, ON, CAN
Hybrid
174K-274K Annually
Senior level
Information Technology • Internet of Things
The Role
As a Senior Data Scientist, you will analyze complex datasets to provide actionable insights, mentor analysts, and collaborate cross-functionally to improve product outcomes.
Summary Generated by Built In

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 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.

Location & Work Model

This is a hybrid role, with an expectation of being in one of our San Francisco or Toronto offices at least three days per week.

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 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

What We’re Looking For
  • 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

  • 7+ years of experience using SQL or similar big data querying languages

  • 7+ years of experience with a programming language such as Python or R

  • 7+ 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

Bonus (Nice to Have)
  • Advanced degree in applied mathematics, statistics, actuarial science, economics or a related field

  • Experience in a product-focused role in the medical domain

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

Notice to Candidates:

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, [email protected] or no‑[email protected] email addresses.

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.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us at [email protected]. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.

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.

Top Skills

Python
R
SQL
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The Company
427 Employees
Year Founded: 2021

What We Do

EvenUp's vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or legal representation

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