Senior Data Scientist (LegalTech, AI)

TL;DR

Senior Data Scientist (LegalTech, AI): Analyzing complex medical and plaintiff treatment data to uncover actionable insights that drive product direction and business priorities. Focus on leveraging machine learning and statistical analysis for building data-driven product solutions in the legal domain.

Location: Hybrid role, with an expectation of being in one of our San Francisco (US) or Toronto (Canada) offices at least three days per week.

Salary: $182,244–$209,581

Company

hirify.global is a fast-growing vertical SaaS company backed by top VCs, using technology and AI to empower personal injury lawyers and victims to secure justice.

What you will do

• Translate complex datasets into clear insights with strategic recommendations to inform product direction and business priorities.
• Partner with Product, Engineering, and Operations teams to define KPIs.
• Collaborate with the evaluation data team to plan annotation work and define evaluation schemas.
• Communicate analysis results and outcomes clearly, tailoring messaging based on the audience.
• Help build and evolve the analytical foundation, including event instrumentation and metric frameworks.
• Mentor other analysts and elevate data storytelling and analytical rigor across the organization.

Requirements

• Bachelor’s degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering, 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 to distill complex findings for technical and non-technical audiences.

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.

Culture & Benefits

• 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.