Staff Data Scientist - Product Analytics

Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can’t see risks, obligations, or act in time.

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 OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business.

We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On.

We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn.

This is a hybrid role based out of our San Francisco office. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.

Data Science at Ironclad

The Data Science role for Product Analytics combines data-driven storytelling and deep data science techniques to help drive our Product roadmap. The Product Data Scientist will work directly across the Product team and Pricing team to drive the right programs, the right investments and ensure business growth.

You will drive analytical decisions for Product. This includes feature analysis, roadmap optimization and pricing investigations. You would also provide expertise on designing A/B tests and be a thought-partner to product and pricing.

This role is cross-functional, partnering with Product, Design, Engineering, Pricing, Analytics, and Finance.

What you'll do:

• Learning the Ironclad ecosystem and historical pricing paradigms in order to be a subject matter expert on the data, analysis, and modeling

• Creating mathematical and data driven solutions for difficult pricing problems at scale

• Be the primary partner for the Product Growth team and collaborate with Product, Engineering and Design to understand growth and optimization opportunities and to measure impact of initiatives.

• Owns and drives strategic analysis to guide product roadmap and develop a holistic point on view on product direction

• Design and develop core business metrics, creating insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress

• Lead A/B experiments, quantitative primary research and surveys such as NPS from the Data side by supporting experiment design, tracking, implementation and owning the final analysis and readout.

• Provide data expertise to all data science team members through code reviews, mentorship and pairing to increase efficiency of the data science team.

Who you are:

• 5+ years of experience in data science and machine learning, time-series data, multivariate analysis and causal inference.

• 5+ years of experience in statistical experimentation methods, such as A/B testing, experimental design, power analysis and non-parametric statistics.

• Deep experience in Product and Pricing analysis.

• Experience in SQL, statistical modeling platforms (Python), data modeling, machine learning algorithms, and data science techniques.

• Experience managing analytics projects from creation to delivery, including developing structured solutions.

• You are an extraordinary communicator and project manager. You have the ability to prioritize projects and clearly communicate timelines to your team and stakeholders.

Benefits