Director of Product Data Science responsible for building and leading teams in data-driven product decision-making at Salesforce. Partnering with cross-functional teams to ensure data science informs product strategies.
Responsibilities
Build, lead, and scale a high-impact data science team
Manage and develop a team of senior and principal Product Data Scientists
Partner closely with Product, Design, Engineering, and Data Engineering leadership
Ensure data science is deeply embedded in product development
Guide evidence-based analyses to identify key drivers of product growth
Define, standardize, and oversee key product success metrics
Synthesize insights across multiple product areas and business outcomes
Serve as a technical and methodological leader for product data science
Collaborate closely with Data Engineering and data platform teams
Requirements
7+ years of experience in data science or quantitative analysis
Advanced degree (MS, PhD) in a quantitative field
Strong fluency in at least one data science programming language (e.g., Python, R)
Experience working with large-scale data technologies and AI tools
Strong executive communication skills
Proven cross-functional collaboration and influencing skills
Experience guiding the design and evolution of scalable data pipelines
Deep understanding of statistical and machine learning methodologies
Expertise in product data science measurement and experimentation methodologies
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