Senior Data Scientist (MCM)

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, 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 Commerce Media (MCM) enables marketplaces to leverage recent advances in AI to deliver highly relevant ads powered by first‑party data. MCM has established strong product‑market fit and is a key growth engine for Moloco as we expand our footprint with leading global and regional commerce platforms. As a Senior Data Scientist on the MCM team in London, you will play a key role in accelerating MCM’s expansion. You will act as a strategic technical contributor, partnering closely with cross-functional stakeholders to onboard and optimize marketplace platforms. You will evaluate the performance of MCM platforms across our ad-tech stack (ranking, retrieval, and bidding), identify actionable insights, and help translate them into measurable partner impact. By contributing to the solutions that enable leading commerce platforms to scale, you will help transform market potential into long-term marketplace success. The Opportunity: In this role, you will: Optimize Platform Performance: Conduct deep‑dive analyses using large‑scale data to understand platform performance, advertiser outcomes, and marketplace dynamics, and translate findings into actionable recommendations for product and business teams. Define Success Frameworks: Design and refine the metric frameworks that evaluate and quantify platform performance. Leverage these frameworks to identify and propose new opportunities for platform growth. Influence MCM’s Product and Engineering Roadmap: Proactively define feature priorities by conducting deep-dive analyses that uncover high-impact growth opportunities. Partner with leadership to translate these insights into a technical vision that guides the development of the MCM platform. Present Complex Insights to Executive Audiences: Simplify intricate data science concepts for non-technical stakeholders and drive the technical narrative in Quarterly Business Reviews (QBRs). Build trust with customer leadership through clear, data-driven storytelling and strategic frameworks. Drive High-Impact Platform Launches: Lead cross-functional efforts with Sales and Customer Engineering to ensure seamless marketplace launches. Help onboard, support, and scale new marketplace platforms onto MCM and deliver the post-launch executive readouts that validate success. Uphold Data Science Excellence: Apply best practices in analysis, modeling, and experimentation. Contribute to a strong data culture by sharing knowledge and supporting peer development within the MCM team. How Do I Know if the Role is Right For Me? You enjoy owning high-impact analyses from problem definition through execution and recommendation. You are comfortable operating in ambiguity and structuring open-ended business questions into analytical frameworks. You are a strong collaborator who can partner effectively with product, engineering, and commercial stakeholders. You are motivated by translating data into practical impact for real marketplace partners. Minimum Qualifications: 4+ years of industry experience in data science, analytics, or a related field (or an advanced degree with 2+ years of high-impact industry experience). Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Mathematics, etc.). Demonstrated ability to drive product strategy: You have a track record of using data to define feature roadmaps and influence long-term business goals. Strong proficiency in Python and SQL, with experience analyzing large‑scale datasets  Solid foundation in statistics, including experimental design, hypothesis testing, and various statisti