About the job
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.
Responsibilities
- Work hand-in-hand with product managers, designers, and engineers to frame key questions, define metrics, and develop hypotheses that guide product strategy.
- Analyze user behavior and product usage data to uncover friction points and areas for improvement in contract management workflows.
- Design and run experiments to test new features and optimizations, providing clear, actionable insights that inform prioritization and iteration.
- Build dashboards and self-serve reporting tools that empower product teams to monitor performance and make timely, data-informed decisions.
- Foster a collaborative environment where data is accessible and integral to the product development, helping teams move confidently from ideas to impact.
- 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.
Qualifications
Minimum
- 8+ years of experience as a Data Scientist in the Product Analytics space.
- Advanced proficiency in SQL & Python.
Preferred
- 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.