Hiring: Data Scientist II, Product - Moloco Commerce Media Company: Moloco Location: Menlo Park, CA Job Posted Time: 2026-09-10 10:14:35 Target Skills & Keywords : A/B Testing, Machine Learning, Python, SQL, User Experience About the job Experience: •3+ years of industry experience in data science, analytics, or a related field (or an advanced degree with equivalent applied experience). Required Skills: •Partner with Product on strategy: Act as an independent thought partner to product managers, proactively surfacing opportunities, sizing them with data, and informing roadmap prioritization. You will bring your own point of view on what to build and why. •Define success metrics for new product initiatives: Establish how MCM measures new capabilities, including north star and guardrail metrics, the trade-offs they encode, and the thresholds that guide ramp decisions. Align Product and Engineering on these frameworks before launch. •Drive evaluation and experimentation: Design experiments and evaluation methodologies for product launches, including cases where standard A/B testing is insufficient. Analyze results rigorously and translate them into clear ship, iterate, or stop recommendations. •Conduct deep-dive analyses: Use large-scale data across our ad-tech stack (ranking, retrieval, bidding, pacing) to understand how product changes affect advertiser outcomes and marketplace dynamics, and turn findings into actionable recommendations. •Communicate insights clearly: Distill complex analyses into narratives that product, engineering, and non-technical stakeholders can act on. Deliver launch readouts and contribute the data narrative to product reviews. •Uphold data science excellence: Apply best practices in analysis, modeling, and experimentation, and contribute to a strong data culture within the MCM team. •How Do I Know if the Role is Right For Me? •You want to shape products, not just measure them, and are comfortable speaking up when the data disagrees with the plan. Qualifications: •Bachelor's, Master's and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Mathematics, etc.). •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 stakeholders. •Demonstrated capacity to build strong relationships and collaborate effectively in a global, cross-functional organization. •Operational familiarity with causal inference methods or evaluation approaches for products where standard A/B testing does not apply. Compensation: •$148,000 - $180,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!