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2 дня назад

Staff Data Scientist, Product (Product Analytics)

115 000 - 230 000$
Формат работы
onsite
Тип работы
fulltime
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 (Product Analytics): Building quantitative frameworks, experiments, causal analyses, and decision models that shape product, engineering, and investment decisions with an accent on experimentation, metric design, and behavioral insight. Focus on designing quasi-experiments, applying advanced causal inference methods, modeling pricing and retention trade-offs, and translating complex findings for senior leadership.

Location: Bethesda, Maryland, United States

Annual salary: $115,000–$230,000

Company

hirify.global is a large U.S. auto insurer and a member of the Berkshire Hathaway family of companies.

What you will do

  • Partner with product, engineering, and design leaders to frame business questions and influence roadmap decisions.
  • Define product goals, guardrails, metric trees, and measurable drivers of outcomes.
  • Design, power, and analyze A/B and quasi-experiments, including treatment heterogeneity and long-term effects.
  • Apply causal inference methods such as difference-in-differences, synthetic control, instrumental variables, propensity scoring, and switchback designs.
  • Build opportunity-sizing, forecasting, and ROI models for pricing, growth, retention, and investment decisions.
  • Lead investigations into user behavior, funnels, retention, and engagement; communicate recommendations to senior leadership and mentor junior analysts.

Requirements

  • 8+ years of experience in product analytics, decision science, data science, or a related quantitative role at a technology company.
  • Strong experience with well-powered A/B testing, statistical analysis, bias and variance diagnosis, interference, and non-stationarity.
  • Applied statistics and causal inference experience, with the ability to select appropriate methods for specific questions.
  • Advanced SQL and working proficiency in Python or R for analysis, modeling, and reproducible workflows.
  • Ability to define product metric frameworks, influence product decisions, and communicate clearly with executives.
  • Bachelor’s degree or higher in statistics, economics, computer science, mathematics, operations research, or a related quantitative field, or equivalent practical experience.

Nice to have

  • Experience with Bayesian methods, hierarchical models, sequential testing, or uplift modeling.
  • Background in growth, pricing, monetization, marketplaces, recommendations, insurance, or financial services.
  • Experience partnering with machine learning engineers on production models, offline evaluation, online metrics, and guardrails.
  • Contributions to experimentation platforms, metric stores, or measurement tooling.
  • Master’s degree or PhD in a quantitative discipline.

Culture & Benefits

  • Personalized development programs, mentorship, and certification assistance.
  • Inclusive and collaborative culture focused on shared success.
  • Competitive pay, benefits, and flexibility supporting employee well-being.
  • hirify.global will consider sponsoring a qualified new applicant for employment authorization.

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