Staff Data Scientist, Gaming

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.

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 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 Be Contributing to Moloco:

Moloco’s Growth Data Science team leverages data and experimentation to uncover growth opportunities for our customers — helping them acquire more valuable users at a lower cost. As a Team Lead, you will manage and mentor a team of data scientists while also taking on hands-on data science work - providing the opportunity to both shape team strategy and stay close to customer impact.

This team focuses on supporting gaming companies in China, working directly with premium clients to optimize their user acquisition campaigns and scale their growth with Moloco’s machine learning–powered advertising platform.

What You’ll Do

Team Leadership:

• Lead, coach, and develop a team of high-performing data scientists, fostering growth in both business and technical know-how.
• Set priorities, review work quality, and ensure impactful delivery aligned with Moloco and client objectives.
• Collaborate closely with global stakeholders across Sales, Product, Engineering and Go-To-Market teams to bring customer needs into Moloco’s broader growth and product strategies.

Strategic customer support:

• Partner with Sales teams to develop compelling growth narratives, join client meetings, and present insights to C-level stakeholders at leading gaming companies.
• Design, run, and analyze experiments to support campaign optimization.
• Generate insights and provide actionable recommendations to improve UA efficiency, engagement, and retention for gaming clients.
• Verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.

What We’re Looking For

Minimum Requirements:

• 7+ years of experience in data science, analytics, or related roles, including hands-on use of Python and SQL.
• Proven experience designing and running experiments (A/B testing, causal inference, etc).
• Strong statistics foundation (experimental design, hypothesis testing, regression, time-series analysis).
• Fluent in Mandarin Chinese and English, with excellent communication skills (verbal, written, and presentation).
• Experience working directly with clients, especially in campaign or growth optimization contexts.
• Strong collaborator with experience working across global, cross-functional teams.
• Demonstrated ability to own projects end-to-end and think strategically while executing tactically.
• Master’s degree in a quantitative field (or equivalent practical experience).

Preferred Qualifications:

• Prior people management experience leading technical teams (managing data scientists or analysts).
• Deep familiarity with the gaming industry and user acquisition strategies.
• Willingness to travel occasionally within China to meet with clients.

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. Through a lens of inclusion, 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: 

Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we 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 and 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.