Staff Data Scientist, Product

Location: Bethesda, MD, United States

Annual salary: $115,000–$230,000

Company

hirify.global is a large United States 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 ambiguous business questions and shape roadmap decisions.
• Define goal metrics, guardrails, metric trees, and measurable product inputs.
• Design, power, and analyze A/B and quasi-experiments, including treatment heterogeneity, long-term impact, novelty effects, and cross-surface interactions.
• 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 behavioral and funnel investigations, communicate recommendations to senior leadership, mentor junior data scientists and analysts, and establish standards for statistical rigor and reproducible analysis.

Requirements

• 8+ years of experience in product analytics, decision science, data science, or a related quantitative role at a technology company.
• Strong experience designing well-powered A/B tests, diagnosing bias and variance, handling interference and non-stationarity, and interpreting real-world results.
• Applied statistics and causal inference experience, with the ability to select appropriate methods for each question.
• Advanced SQL and working proficiency in Python or R for analysis, modeling, and reproducible workflows.
• Ability to define product metric frameworks, influence product decisions, communicate clearly with executives, and quantify uncertainty.
• 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, or recommendation systems.
• Experience partnering with ML engineers on production models, offline evaluation, online metrics, and guardrails.
• Contributions to experimentation platforms, metric stores, or measurement tooling.
• Insurance or financial services experience, and an MS or PhD in a quantitative discipline.

Culture & Benefits

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