Senior Data Scientist, Growth Analytics

About Moloco: Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet. Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture) , the AI system behind every Moloco product. At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next. About the Role Growth Data Science (GDS) is Moloco's global team of data scientists who partner with advertisers, sales, product, and engineering teams to maximize the effectiveness of Moloco Ads. As a Senior Data Scientist, you will hold one of the most cross-functional, high-visibility roles in the team - serving as the primary bridge between the commercial objectives of our advertisers and the technical direction of the Moloco Ads product. This is a newly created role designed to fill a critical gap: the need for a senior, technically strong, DS who can both drive performant activation of Moloco products with our largest advertisers and synthesize customer signals into product priorities. A key component of this scope will be operating globally across GDS - creating the frameworks, playbooks, and product feedback loops that the broader team can scale. You will work in the overlap of customer-facing data science and product strategy, partnering daily with product, engineering, sales, and GTM teams to ensure that what Moloco builds gets activated effectively and that what advertisers need shapes what we build next. The Impact You'll Have Strategic Advertiser Engagement Partner directly with Moloco’s top tier of advertisers to ensure they are extracting maximum value from the Moloco product suite, advising on campaign structure, measurement, bidding strategy, and optimization levers. Translate account insights into product roadmap signals - feeding structured product and GTM feedback upwards Set the standard for GDS advertiser engagement as a model others learn from Product Strategy & Roadmap Influence Build and scale activation frameworks that regional GDS teams can run across their books - moving the team from ad hoc activation to a repeatable, scalable model. Serve as a senior technical voice from GDS in product conversations - bringing the depth of advertiser insight and analytical rigor needed to influence roadmap decisions at the highest level. Systematically collect, synthesize, and communicate customer feedback and market signals to product and engineering, ensuring the Moloco roadmap is grounded in real advertiser needs. Partner with product DS and engineering teams to define success metrics, design experiments, and evaluate new product features before and after launch. Translate complex, ambiguous advertiser problems into clear product requirements and value propositions, acting as a credible interpreter between commercial and technical teams. Global Frameworks & Team Leverage Define and own the GDS approach to product activation globally. Building frameworks, tools, and best practices that elevate the impact of the entire team. Act as a thought leader within GDS: setting a high bar for analytical rigor, stakeholder communication, and cross-functional influence. Work across AMER, EMEA, and APAC GDS teams to ensure consistency in how we bring product to market and how we surface customer insight back to the business. Minimum Requirements Education: Bachelor's degree in a quantitative discipline (Statistics, Computer Science, Economics, Mathematics, Physics, or equivalent practical experience). Experience: 4+ years in data science, analytics, or a closely related quantitative field, with significant time in a customer-facing or product-facing IC capacity. Statistics: Strong foundation in experimental design, hypothesis testing, regression, and causal inference methods. Programming: Proficiency in Python and SQL is required. Experience with large-scale data platforms (e.g., BigQuery) preferred. Communication: Exceptional verbal and written communication skills. Proven ability to distill complex technical concepts into clear recommendations for non-technical audiences up to C-level. Stakeholder management: Demonstrated ability to build and maintain cr