Data Scientist: Product

Location: Austin, Texas; New York, New York; San Francisco, California; or Remote (US)

Salary: $160,000–$230,000 USD per year

Company

hirify.global provides software that enables companies to offer employees healthcare budgets, giving employees more choice over coverage and care while helping employers control costs.

What you will do

• Partner with Product and Operations to answer business questions and inform product priorities.
• Define and own company-wide and feature-level product metrics.
• Analyze user journeys, engagement, and operational data to identify friction and opportunities.
• Design and evaluate experiments to measure the impact of product changes.
• Build and maintain dbt models, metrics, dashboards, and analytical tools.
• Improve data quality, instrumentation, and self-serve analytics.

Requirements

• Experience using analytics, data science, and experimentation to influence product decisions.
• Strong SQL skills and experience with dbt or similar data transformation tools.
• Experience building analytical data models and dashboards with BI or visualization tools.
• Proficiency in Python for analysis, experimentation, or statistical modeling.
• Strong product judgment and the ability to turn complex findings into clear, actionable recommendations.
• Ability to work independently, navigate ambiguity, and partner across teams.

Nice to have

• Experience influencing product roadmaps and prioritization through data.
• Experience building experimentation practices, including guardrail metrics, sample-size guidance, or analysis frameworks.
• Experience analyzing funnels, retention, cohorts, or engagement across complex user journeys.
• Experience building statistical or machine-learning models for segmentation, forecasting, propensity, or recommendations.
• Experience in healthcare, fintech, or other regulated industries.
• Familiarity with source data and event instrumentation from systems such as Ruby on Rails.

Culture & Benefits

• Work focuses on solving complex problems across healthcare, payments, and technology.
• Teams value sound judgment, ownership, customer focus, and comfort with ambiguity.
• Remote work is available within the US, alongside office-based options in Austin, New York, and San Francisco.
• Work includes collaboration with Product, Operations, engineering, company leadership, and cross-functional partners.

Hiring process

• Recruiter conversation followed by a hiring manager conversation and a lightweight Python coding exercise.
• Take-home analytics exercise, work review, and data modeling and metrics exercise with the team.
• Discussion with cross-functional partners followed by a final conversation with engineering and company leadership; most candidates complete the process within 2–3 weeks.