Product Data Scientist

A rapidly growing AI technology company in San Francisco is seeking a Product Data Scientist to help drive product strategy and decision-making through data. This role offers the opportunity to work closely with Product, Engineering, Design, and leadership teams to define success metrics, understand user behavior, and shape the future of innovative AI-powered products.
 

Role:

📊 Partner with Product and Engineering teams to identify opportunities that improve user engagement, adoption, retention, and business outcomes.

📊 Define, develop, and maintain key product metrics and performance measurement frameworks.

📊 Design and analyze experiments, including A/B tests and causal inference studies, to evaluate product improvements.

📊 Analyze customer behavior, product usage trends, and market signals to uncover actionable insights.

📊 Build dashboards, reports, and self-service analytics tools that empower teams to make informed decisions.

📊 Develop forecasting models, statistical analyses, and data-driven frameworks to support product planning.

📊 Communicate complex findings clearly to technical, business, and executive stakeholders.

📊 Collaborate with data and engineering teams to improve analytics infrastructure and experimentation capabilities.

📊 Help establish best practices, standards, and processes for a growing Data Science function.
 

Requirements:

📌 5+ years of experience in Data Science, Product Analytics, Statistics, Economics, or a related quantitative field.

📌 Strong expertise in SQL, Python, and statistical analysis.

📌 Experience defining metrics and measurement frameworks for digital products.

📌 Deep knowledge of experimentation, A/B testing, causal inference, and statistical modeling.

📌 Proven ability to translate data insights into product and business impact.

📌 Strong understanding of user behavior analysis, retention, engagement, and growth metrics.

📌 Excellent communication and stakeholder management skills.

📌 Ability to thrive in fast-paced, ambiguous, and rapidly evolving environments.

📌 Experience working with cross-functional teams including Product, Engineering, and Business stakeholders.
 

⭐ Preferred:

🔹 Experience with AI/ML products, large language models, or enterprise software.

🔹 Experience supporting B2B or enterprise-focused products.

🔹 Familiarity with modern data infrastructure and analytics platforms.

🔹 Experience building data science practices within high-growth startups.
 

Benefits:

💰 Salary: $155,000 – $240,000 USD annually

📈 Equity participation opportunities.

🎯 Performance-based bonus potential.

🌎 Flexible work environment with remote-friendly options.

🚀 Opportunity to work on cutting-edge AI technologies and products.

📚 Professional growth and career advancement in a high-growth organization.

🤝 Collaborative and highly talented cross-functional team.

🏆 Significant ownership and influence over product strategy and analytics direction.

Skills Keywords:
Data Science, Product Analytics, SQL, Python, Statistics, A/B Testing, Experimentation, Causal Inference, Statistical Modeling, Data Visualization, Product Metrics, Business Intelligence, Forecasting, User Behavior Analysis, Customer Analytics, Machine Learning, AI Products, Growth Analytics, Dashboard Development, Data Infrastructure, Product Strategy, Quantitative Analysis, Enterprise Software, B2B Analytics.