Senior Product Data Scientist, People Operations AI System

About the role

The AI/ML Foundations team is a group of engineers and data scientists tasked with building the foundations for engineering excellence and prototyping helpful, internal-facing AI/ML products. The Data Scientist (DS) team focuses on delivering investigative insights that influence product priorities and business strategy across the organization. We combine advanced statistical methods with a deep understanding of user behavior and engineer systems to create helpful experiences for our internal stakeholders.

Responsibilities

• Drive advanced analysis to deliver critical AI system and application insights that shape long-term strategy and influence business priorities.
• Establish core metrics, measurement frameworks, and methodologies for business systems, partnering with stakeholders to align on metric instrumentation.
• Design and run feature experiments in partnership with product and engineering teams, advising on advanced metrics and statistical methodology.
• Define and maintain data collection pipelines, and lead the peer review process for statistical models across the engineering organization.
• Translate complex statistical variance into clear business risk or cost-saving narratives for executives and non-technical stakeholders.

Requirements

• Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of work experience with a Master's degree.
• Preferred qualifications: PhD degree in Statistics, Data Science, or a related quantitative field. Experience building original statistical tools for internal products and mentoring data scientists.

Qualifications

• Experience building original statistical tools for internal products and mentoring data scientists.

Skills

• Advanced statistical methods.
• Deep understanding of user behavior.
• Ability to translate complex statistical concepts into clear business narratives.

Benefits

• Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
• US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits.