Senior/Staff Data Scientist - Product Analytics

Ironclad is the #1 contract lifecycle management platform for innovative companies.  Every company, in every country, in every industry runs on contracts, but managing these contracts slows companies down and costs them millions of dollars. L’Oréal, Staples, Mastercard, and other leading innovators use Ironclad to collaborate and negotiate on contracts, accelerate contracting while maintaining compliance, and turn contracts into critical carriers of operational business intelligence. It’s the only platform flexible enough to handle every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. 

Ironclad is writing the narrative that shows how beautiful and functional contracting will change business. We’re a leader in the Forrester Wave for Contract Lifecycle Management. We have been recognized as a Fortune Great Place to Work for four consecutive years. Our innovation and work culture have been recognized by Glassdoor's Best Places to Work 2023, Forbes’ 50 Most Promising AI Companies, Wing Venture Capital's Enterprise Tech 30, and Gartner's Magic Quadrant. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture.  We’re backed by leading investors like Accel, Y Combinator, Sequoia, and BOND. For more information, visit www.ironcladapp.com or follow us on LinkedIn and Twitter.

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, stat