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.
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.
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.
- 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).
- Drive High-Impact Platform Launches: Lead cross-functional efforts with Sales and Customer Engineering to ensure seamless marketplace launches.
- Uphold Data Science Excellence: Apply best practices in analysis, modeling, and experimentation.
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 statistical analysis techniques such as regression
- Excellent communication skills with experience presenting technical findings to non-technical leadership or external partners.
- Ability to build strong relationships and collaborate effectively in a global, cross‑functional organization.
Preferred Qualifications:
- Experience in ad‑tech, marketplace, or e-commerce environments (specifically bidding, ranking, or auction logic).
- Experience evaluating machine learning models in production, including experimentation and ongoing performance monitoring.
- Prior experience in a client-facing or consultative data science role, supporting external partners through data-driven insights.
- Experience working with geographically distributed teams and stakeholders.
