Staff Data Scientist - Product Analytics

Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from Rivian to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business.

At Ironclad, Product Data Scientists partner closely with product teams to drive smarter, more efficient contract management solutions. Leveraging data to identify opportunities and validate ideas, they help shape product development and deliver real customer value. They partner across engineering, product, and go-to-market teams to identify friction points and optimize processes. Embracing a culture of data-informed decision-making, Ironclad’s data scientists collaborate across disciplines to ensure that product choices are grounded in evidence and aligned with business goals.

This role will report to the Head of Product Analytics.

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  Work hand-in-hand with product managers, designers, and engineers to frame key questions, define metrics, and develop hypotheses that guide product strategy.

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  Analyze user behavior and product usage data to uncover friction points and areas for improvement in contract management workflows.

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  Design and run experiments to test new features and optimizations, providing clear, actionable insights that inform prioritization and iteration.

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  Build dashboards and self-serve reporting tools that empower product teams to monitor performance and make timely, data-informed decisions.

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  Foster a collaborative environment where data is accessible and integral to the product development, helping teams move confidently from ideas to impact.

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  Identify and implement Generative AI solutions to automate internal data workflows, such as code generation, documentation, and routine reporting, to increase the team’s operational velocity.

• 8+ years of experience as a Data Scientist in the Product Analytics space.

• Advanced proficiency in SQL & Python.

• Familiarity with the tools in our stack ( BigQuery, dbt, Looker/Tableau) is preferred.

• A naturally inquisitive, critical thinker who enjoys and is effective at solving problems.

• A demonstrated self-starter with strong communication and project management skills.

The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.