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3 дня назад

Staff Data Scientist

170 000 - 225 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Staff Data Scientist (Product Analytics/Experimentation): Developing data-driven insights and statistical solutions for a home-services marketplace with an accent on product growth, advanced experimentation, and causal inference. Focus on leading experimentation and data science initiatives, building data agents, improving eventing systems, and communicating strategic findings to executive stakeholders.

Location: Hybrid role requiring two days per week in the San Francisco office every Tuesday and Wednesday. Candidates must be legally authorized to work in the United States without employer sponsorship.

Salary: $170,000–$225,000 base pay annually, excluding bonus, benefits, and other compensation.

Company

hirify.global is a marketplace platform connecting customers with Taskers for home services including furniture assembly, handyman work, and moving assistance.

What you will do

  • Partner with Product and occasionally Commercial Operations stakeholders to define and solve high-impact analytical problems.
  • Conduct analytical deep dives to identify growth opportunities across key product and business levers.
  • Define success metrics for new features and products, and evaluate them through advanced experimentation and causal inference.
  • Lead central Data Science initiatives, including experimentation systems, data agents, and eventing systems.
  • Present actionable insights clearly and help strengthen data analysis and interpretation practices across the organization.

Requirements

  • BS, MS, or Ph.D. in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.
  • At least 7 years of industry experience in data science.
  • Strong experience with advanced experimentation and statistical modeling.
  • Expert-level SQL skills and experience with Python, data pipeline tooling such as dbt, and Git.
  • Strong analytical, problem-solving, business acumen, and strategic thinking skills, particularly in commerce or risk.
  • Ability to independently lead projects end-to-end and communicate complex findings to executive audiences.

Nice to have

  • Experience productionizing machine learning models.
  • Familiarity with MLOps.

Culture & Benefits

  • Hybrid work model with regular in-person collaboration.
  • Employer-paid health insurance and a 401(k) match with immediate vesting for US-based employees.
  • Flexible time off and two company-wide closure weeks.
  • Product, wellness, productivity, and education stipends.
  • IKEA discounts and reproductive health support; benefits vary by country of employment.

Hiring process

  • Initial application prescreening may use an AI-assisted tool for US-based candidates.
  • Applicants may opt out of AI-assisted prescreening and have their application reviewed manually.

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