Data Scientist – Commerce Media

Job Description

Data Scientist II, MCM | Confidential Employer

The Tone:
This is a full-time, U.S.-based role at Moloco, a company building powerful AI advertising solutions. Moloco’s core mission is to democratize access to advanced AI, drawing on the expertise of machine learning pioneers from Google. This role is crucial for the Moloco Commerce Media (MCM) team, a key growth engine enabling marketplaces to deliver highly relevant ads powered by first-party data. As a Data Scientist, you will directly influence product strategy, feature development, and value communication for MCM’s expanding footprint.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: U.S.-based (various regions)
• Pay: $148000–$180000 yearly (Region A)
• Team: Data Science team within MCM, partnering with Product, Engineering, and Go-To-Market teams.
• Mission: Shape how Moloco Commerce Media defines success, evaluates new features, and decides future investment.
• Tech Stack: Python, SQL

What You’ll Actually Do
• Strategy Partner: Act as an independent thought partner to product managers, proactively identifying and sizing opportunities with data to inform roadmap prioritization, bringing your own informed perspective on product direction and value.
• Define Metrics: Establish clear success metrics for new product capabilities, including north star and guardrail metrics, outlining the trade-offs they encode and the thresholds that guide ramp decisions, ensuring alignment across Product and Engineering before launch.
• Drive Evaluation: Design and execute rigorous experiments and evaluation methodologies for product launches, including complex cases where standard A/B testing is insufficient, then translating analytical results into clear, actionable ship, iterate, or stop recommendations.
• Deep-Dive Analysis: Conduct in-depth analyses using large-scale data across the entire ad-tech stack, encompassing ranking, retrieval, bidding, and pacing, to thoroughly understand how product changes affect advertiser outcomes and marketplace dynamics, generating actionable insights.
• Communicate Insights: Distill complex analytical findings into compelling narratives and clear, actionable insights for product, engineering, and non-technical stakeholders, delivering comprehensive launch readouts and contributing data narratives to product reviews.

The Must-Haves
• Background: Minimum of a Bachelor’s, Master’s, or PhD degree in a quantitative discipline such as Statistics, Operations Research, Economics, or Mathematics, coupled with 3+ years of industry experience in data science, analytics, or a closely related field.
• Experience: A demonstrated track record of effectively partnering with product or business stakeholders, including defining success metrics, designing and running experiments, and influencing key business decisions through data-driven insights. This includes strong experience analyzing large-scale datasets.
• Skills: Strong proficiency in Python and SQL for data manipulation and analysis, a solid foundation in statistics covering experimental design, hypothesis testing, and various statistical analysis techniques like regression, alongside excellent communication skills for presenting technical findings to non-technical audiences.
• Bonus: Relevant experience in ad-tech, marketplace, or e-commerce environments, specifically with bidding, ranking, or auction logic; experience evaluating machine learning or AI-driven systems in production (offline evaluation, online experimentation, and ongoing performance monitoring); familiarity with causal inference methods or evaluation approaches for products where standard A/B testing does not apply; or experience collaborating with geographically distributed teams and stakeholders.