Senior/Staff Data Scientist – Product Analytics

Senior/Staff Data Scientist – Product Analytics

Requirements

• 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.
• Extraordinary communicator and project manager with the ability to prioritize projects and clearly communicate timelines to team and stakeholders.

Responsibilities

• Learning the Ironclad ecosystem and historical pricing paradigms to be a subject matter expert on the data, analysis, and modeling.
• Creating mathematical and data driven solutions for difficult pricing problems at scale.
• Being the primary partner for the Product Growth team and collaborating with Product, Engineering and Design to understand growth and optimization opportunities and to measure impact of initiatives.
• Owning and driving strategic analysis to guide product roadmap and develop a holistic point of view on product direction.
• Designing and developing core business metrics, creating insightful automated dashboards and data visualization to track progress.
• Leading 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.
• Providing data expertise to all data science team members through code reviews, mentorship and pairing to increase efficiency of the data science team.

Preferred Qualifications

No preferred qualifications provided.