Senior/Staff Data Scientist (AI)

Location: San Francisco or remote in the US/Canada

Salary: $195,000–$268,000 per year, plus equity

Company

hirify.global is building a developer-first cloud platform for AI-native, full-stack, multi-service applications, with persistent compute, autoscaling, orchestration, and observability.

What you will do

• Partner with Product, Engineering, Growth, Go-to-Market, Finance, and other teams to frame high-impact questions and define how success is measured.
• Develop metrics and measurement frameworks for acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes.
• Analyze user, customer, product, and business data to identify opportunities, diagnose friction, and guide investment and prioritization decisions.
• Design and analyze experiments, define guardrail metrics, and select rigorous evaluation methods for business and product initiatives.
• Build and maintain dbt models, semantic layers, and reliable analytical datasets in partnership with Analytics Engineering.
• Establish analytics best practices, mentor partners, and explore AI-assisted tools that improve analytical speed while preserving accuracy and judgment.

Requirements

• 7+ years of analytics experience influencing strategy and decisions in complex or ambiguous problem spaces.
• Strong product and business judgment, communication skills, and experience influencing cross-functional teams and senior leaders without direct authority.
• Advanced SQL skills and experience independently exploring large datasets.
• Experience with experimentation, statistical analysis, and rigorous evaluation methods, including causal inference, cohort analysis, survival analysis, or time-series analysis.
• Experience with modern analytics tools such as Metabase, Mixpanel, dbt, BigQuery, Segment, and Git.
• Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code.

Nice to have

• Experience with developer-focused, product-led, sales-led, or usage-based businesses.
• Knowledge of cloud infrastructure, PaaS, developer tooling, or technically complex products.
• Experience analyzing multi-product or multi-segment businesses and interconnected customer journeys.

Culture & Benefits

• Four weeks of paid vacation.
• Fourteen weeks of fully paid parental leave for all parents.
• Employer-paid medical, dental, and vision coverage, plus FSA and HSA options.
• Long-term disability, life insurance, and 401(k) plans.
• Monthly lifestyle, phone, and internet stipends; commuter benefits in the Bay Area and home-office stipends for remote employees.
• Continuous learning benefits and support.

Hiring process

• The interview process is tailored to the role and designed to provide a thoughtful, respectful candidate experience.