Senior Manager Data Science, Product Analytics

Location: New York

Senior Manager Data Science, Product Analytics –
Moloco

Moloco builds some of the most powerful AI advertising solutions inrepris. Our name—short for “machineイ learning company”—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, we are transforming how businesses grow and compete in the digital economy.

The

Impact You’ll Have at Moloco

As a leader of the Product Data Science function for Moloco Ads, you will partner closely with senior Product Management, Engineering, and Business leaders to deliver high-quality analysis and insights that shape our product roadmap and long‑term vision. This is a hands‑on, high‑growth, high‑impact leadership role with responsibility for setting analytical standards, driving org‑wide initiatives, and leading and growing a team of data scientists and data science managers.

Own

and Evolve Product Health Metrics

• Define and own the metrics that measure the health of the Moloco Ads product end‑to‑end
• Establisher mi clear input/output metrics across core ML, bidding, and delivery components
• Build causal frameworks to understand performance drivers and business tradeoffs
• Guide launch and ramp decisions through rigorous experimentation and A/B testing
• Communicate metric movements and insights clearly to Moloco Ads leadership

Influence Product and R&D Strategy through Deep Analysis and Experimentation

• Conduct deep‑dive analyses on large‑scale datasets to extract meaningful signal from noise
• Design and execute experiments that inform product and algorithmic decisions
• Translate analytical findings into clear, actionable recommendations that improve Moloco’s complex ML and bidding systems and drive customer performance

Evaluate and Maintain Ads System Health

• Develop a holistic understanding of Moloco’s ads ecosystem and its interconnected components
• Diagnose performance changes and system issues using robust monitoring and diagnostic frameworks

Scale Insight through AI and Analytics Tooling

• Leverage and build AI‑powered analytics and decision‑support tools (e.g., experimentation platforms, automated insights, LLM‑enabled analysis workflows)
• Enable teams across Moloco to access insights at scale and make faster, better data‑driven decisions

What You’ll Bring Leadership & People Management

• Proven experience leading product data science teams and elevating analytical quality across an organization
• Strong people leadership skills, including mentoring, coaching, fostering a growth mindset, and supporting career development
• Empathetic and thoughtful leadership style, with the ability to be decisive and hold teams accountable
• Experience delegating effectively while maintaining high standards for execution and impact

题理

• Strong communication skills with a solid technical foundation
• Experience partnering cross‑functionally with Product, Engineering, and Business leaders
• Ability to clearly communicate data insights and recommendations to executive stakeholders and external customers

Execution & Problem Solving

• Exceptional problem‑solving skills, with the ability to frame ambiguous product questions and translate them into analytical approaches
• Comfort working with large datasets and applying statistical methods to drive decisions
• Proven ability to own and deliver org‑wide initiatives end‑to‑end, translating analysis into business attribution
• Ability to manage multiple complex projects simultaneously in a fast‑paced environment

Technical Qualifications

• Statistics:
  Strong expertise in experimental design, hypothesis testing, and statistical analysis (e.g., regression, linear models)
• Programming:
  Experience with Python, R, or similar scripting languages; proficiency in SQL and data manipulation tools (e.g., Pandas, d家庭)
• Ability to build strong working relationships with product, engineering, and business partners in a global organization

Experience & Education

• 10+ years of experience in data science or related quantitative fields, with demonstrated impact on complex products
• 5+ years of experience leading and scaling data science teams, including managing managers
• B…