Data Scientist II, Product - Moloco Commerce Media

This Data Scientist II role focuses on building and deploying classical machine learning models for real-world business problems such as demand forecasting, customer segmentation, and pricing. The scientist will work with large datasets, perform feature engineering, and ensure model interpretability and monitoring. Strong proficiency in Python, SQL, and cloud data platforms is required, along with experience in model productionization.

Applies advanced analytics and statistical modeling to marketing data, delivering insights for campaign optimization. Designs experiments, builds attribution models, and supports client decision-making.

This role develops and deploys machine learning and AI solutions for advertising measurement products, applying causal inference and Bayesian statistics. The scientist works with senior team members and product stakeholders, taking ideas from early-stage to production. Requires Python and SQL proficiency, experience with agentic development, and collaboration with engineering and product teams.

This role focuses on developing innovative data science solutions to drive business insights and product enhancements. The scientist will build predictive models, analyze complex datasets, and collaborate with cross-functional teams to solve challenging problems.

Leads the advertiser platform within Moloco's AI Platform and Products division, owning the strategy and roadmap for the NextGen AI-first Ads Manager and the Moloco Ads MCP. Drives the transition from manual campaign management to agentic workflows, ensuring parity between the in-product experience and external AI agent connections. Requires deep experience shipping production AI agents to external customers, managing API products, and leading a team of product managers.

Leads Moloco's CTV business, owning the product strategy to scale this fast-growing segment. Focuses on strengthening foundational layers like performance, identity, and measurement, while improving the advertiser experience for CTV campaigns. Requires deep CTV ecosystem fluency, a track record of building adtech products from 0-to-1, and close partnership with engineering, data science, and sales.

This Senior Applied Scientist role drives performance improvement in Moloco's core Ads product through deep analysis of the ads ecosystem and ML/bidding systems. The scientist will conduct deep-dive analyses, build metrics frameworks, and evaluate system health to guide R&D decisions. Requires an advanced degree in CS/Math, 4+ years of applied science experience, and strong analytical and collaboration skills.