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Senior Manager Data Science, Product Analytics

Moloco

New York, United States; Redwood City, California, United States; Seattle, Washington, United States (New York - Office, Redwood City - Office (HQ), Seattle - Office) permanent

Posted: January 6, 2026

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Job Description

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine 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, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You’ll Have at Moloco

The Moloco Ads Data Science team provides the analytics, measurement, and insights that guide Moloco’s product and business strategy. 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.

The Opportunity

Own and evolve product health metrics


Define and own the metrics that measure the health of the Moloco Ads product end-to-end


Establish 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 and 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

Communication & Influence


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 impact


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, dplyr)


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


Bachelor’s, Master’s, and/or PhD in a quantitative discipline such as Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Engineering, or related fields

Our Compensation And Benefits (for United States Residents Only)

In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.

Base Pay Range:
$240,000—$315,000 USD

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

• Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.

• Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.

• Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.

• Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

• Moloco Company Blog

• Moloco Leadership

• Moloco Newsroom

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

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