Back to Search
Overview
Lead / Manager

Data Science Manager, Growth Analytics (Gaming,GCR)

Confirmed live in the last 24 hours

Moloco

Moloco

Beijing, China
On-site
Posted March 9, 2026

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 enables retailers and marketplaces 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 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).
  • Dee
pythongomachine learningaimobileiosdataanalyticsproductdesign