Staff Data Scientist - Product Analytics

The role

You will turn raw product usage and contract data into quantitative understanding to shape the product roadmap. You will own dbt pipelines, conduct experimentation, and build data products alongside Product and Engineering teams.

What you will do

• Define, instrument, and analyze metrics for customer adoption, retention, and value.
• Design and analyze A/B tests and quasi-experiments using causal inference.
• Mine large, complex product and contract datasets to generate hypotheses.
• Partner with Product and Engineering to build embedded analytics and AI-powered features.
• Own and extend dbt models and transformations.
• Architect AI-ready data and structure data assets for humans and LLMs.
• Provide technical direction, code reviews, and mentorship to the team.
• Communicate findings to influence senior stakeholders.
• Design and scale self-serve analytics ecosystems and semantic layers.

Required qualifications

• 8+ years of experience in product analytics, data science, or a closely related quantitative field.
• Demonstrated impact at a senior or staff level.
• Deep expertise in product analytics including experimentation, A/B testing, funnel and retention analysis, and causal inference.
• Advanced SQL.
• Fluency in Python or R for analysis, statistics, and modeling.
• Ability to own dbt models, data modeling, and ELT best practices.
• Track record of partnering with Product and Engineering to ship data products.
• Strong data mining and exploratory instincts.
• Familiarity with a modern data stack such as Segment, Fivetran, BigQuery, dbt, Airflow, Looker, and Hex or equivalents.
• Self-starter who leads initiatives end to end.

Nice to have

• Experience at a B2B SaaS company
• Experience or strong interest in AI-assisted development and AI-ready data using tools like Cursor or Claude Code

Benefits

• 100% health coverage for employees (medical, dental, and vision)
• 75% coverage for dependents with buy-up plan options
• Gender-neutral parental leave and compassionate leave
• Family forming support through Maven
• Paid time off
• Monthly stipends for wellbeing, hybrid work, and cell phone use
• Mental health support through Modern Health
• Pre-tax commuter benefits
• 401(k) plan with Fidelity with employer match
• Regular team events

About the company

Ironclad is building AI on enterprise contract datasets. The company is recognized as a leader in Contract Lifecycle Management and is backed by investors including Accel, Y Combinator, and Sequoia.