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3 дня назад

Senior Data Scientist (AI)

185 000 - 230 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (AI): Building analytical foundations and data-driven product solutions for an AI-powered legal technology suite with an accent on product analytics, KPI definition, evaluation data, and statistical modeling. Focus on translating complex datasets into strategic actions, designing scalable self-serve analytics tools, and mentoring data scientists across product, engineering, and operations.

Location: Hybrid, with 3 days per week in an office hub in San Francisco or Toronto

Salary: $185,000–$230,000 annually in San Francisco; $160,000–$195,000 annually in Toronto, plus equity.

Company

hirify.global is a vertical SaaS company using technology and AI to help personal injury law firms and victims achieve faster settlements, higher payouts, and better outcomes.

What you will do

  • Translate complex datasets into insights and strategic recommendations that influence product direction and business priorities.
  • Partner with Product, Engineering, and Operations to define KPIs and support data-informed decision-making.
  • Plan annotation work and define evaluation schemas with the evaluation data team.
  • Build and evolve event instrumentation, metric frameworks, and scalable self-serve analytics tools.
  • Communicate analytical results to technical and non-technical audiences and mentor team members.

Requirements

  • Bachelor’s degree in statistics, mathematics, economics, computer science, engineering, or a related field, or equivalent practical experience.
  • 5+ years of experience with SQL or comparable big data querying languages.
  • 5+ years of experience with Python, R, or a similar programming language.
  • 5+ years of experience applying 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 written and verbal communication skills for presenting complex findings to technical and non-technical audiences.

Nice to have

  • Advanced degree in applied mathematics, statistics, actuarial science, economics, or a related field.
  • Product-focused experience in the legal or medical domain.
  • Mentorship and leadership experience focused on raising scientific standards and developing junior talent.

Culture & Benefits

  • Medical, dental, and vision insurance plans for employees and families.
  • Life, accident, and critical illness insurance options.
  • Flexible paid time off, sick leave, disability coverage, and paid parental leave.
  • Home office stipend and local in-person meet-up program.
  • US employees receive 10 observed holidays and 401(k); Canadian employees receive provincial statutory holidays and RRSP.

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