Product Data Science Manager

Overview

As Product Data Science Manager in Data Labs, you lead a client-facing analytics team delivering end-to-end, custom data insights. You mentor data analysts and stay hands-on, guiding complex analyses that drive client impact. You partner with Engineering and Advisory Services to scale reusable data solutions and infrastructure. You shape standards, foster continuous learning, and ensure high-quality, actionable outcomes for top customers.

Pay / Benefits

• competitive compensation packages
• team outings and happy hours
• ongoing learning solutions
• career growth opportunities
• inclusive workplace culture

Responsibilities

• Lead and develop a customer-facing team of data analysts/scientists with a culture of ownership and excellence
• Oversee end-to-end delivery of complex, custom data products from scoping to execution and ongoing delivery
• Maintain high analytical and technical standards (SQL, PySpark, Python, data validation) across the team
• Serve as escalation point for complex analytical challenges and provide hands-on guidance
• Collaborate with Engineering to define scalable infrastructure and productized solutions
• Coordinate with Advisory Services and other stakeholders to deliver high-impact client solutions
• Drive process improvements, knowledge sharing, and documentation to scale impact and efficiency
• Balance client needs, team capacity, and delivery timelines while upholding quality

Key requirements

• Proven experience managing and mentoring data analysts or analytics teams
• Strong hands-on experience with SQL and PySpark for data analysis — Must
• Strong Python scripting experience — Must
• Excellent English communication and ability to translate analyses into business insights
• Experience working with clients and managing stakeholder expectations — Strong Advantage
• AWS infrastructure experience — Big Advantage
• Background in online marketing, digital services, or tech analytics — Advantage
• Proven ability to lead complex projects from strategy to execution
• Proactive, ownership-driven mindset with solid decision-making skills
• Bachelor’s degree in Statistics, Computer Science, Engineering, or related field — Must
• Master’s degree — Big Advantage

• Strong communication
• Stakeholder management
• Ownership mindset
• SQL
• PySpark
• Python

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