Staff Data Scientist (Product Analytics, Creatives)

• Creatives are one of the highest-leverage levers in Moloco Ads: they shape what users see, how they interact, and ultimately how much value advertisers extract from our platform
• As formats grow more complex (video, playables, rich HTML) and surfaces diversify across exchanges, SDK, and new inventory types, our creative systems must do more than just serve assets — they must learn, adapt, and guide advertisers toward better outcomes
• This space sits at the intersection of ML/bidding, supply, and UI/UX for advertisers. Strong product decisions here directly influence company toplines, ROAS and advertiser retention
• At the same time, weak creative strategy can quietly erode performance, create operational noise, and diminish trust in our optimization systems. We need a Staff Product Data Scientist who can bring structure, rigor, and long-term thinking to this inherently noisy problem space
• The person will be the analytical and product thought partner for the Creatives team, owning the data narrative across ideation, launch, and iteration of creative features and strategies. This is not a “support” role; it is a co-owner of the creative roadmap
• This role is critical to ensuring that Moloco’s creative systems become a long-term competitive advantage, not just a collection of formats and features
• Be recognized as a thought leader in the creative domain, someone whose perspective is actively sought when making high-stakes product calls. For example, influence which creative problems we choose to solve, not just how we measure the outcomes
• Establish a trusted, repeatable framework for measuring creative impact that the organization rallies around. This will enable PM/ENG to ship creative features faster and with more confidence, backed by well-designed experiments and clear success criteria
• Reduce ad-hoc fire drills by building durable monitoring, diagnostics, and documentation that make creative performance and adoption more transparent

Benefits

• Comprehensive health and wellness: Competitive health (100% coverage for you), dental, vision and life insurance for you and your family. In addition, enjoy membership to Calm, Headspace, Spring Health, as well as fitness and health reimbursements
• Professional development: $2,500 Learning and Development stipend annually to grow yourself professionally
• Food and snacks: Enjoy lunch on us. We bring lunch in for employees everyday, In addition, our kitchens are filled with healthy snacks and beverages for you to enjoy
• Paid parental leave: Our parental leave for primary and secondary caregivers have you covered when you welcome a new child into your family
• Unlimited vacation: We encourage team members to take time off to relax and recharge with our flexible paid time off policy. We also offer leave time for various reasons
• Financial benefits: We provide equity and generous retirement benefits that help you prepare for your future. In addition, home office setup and phone, internet and transportation reimbursements- Proven track record of partnering with Product and Engineering to shape roadmaps, define success metrics, and drive decisions through data
• Comfort working across time zones and with distributed teams, using strong async communication and documentation habits
• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience
• 8+ years of experience (or PhD + 6 YoE) in data science, product analytics, or a closely related quantitative field, including significant time as a product-facing IC
• Demonstrated ability to operate with high ownership and autonomy, including scoping ambiguous problems and driving them to closure
• Graduate or PhD degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience with 10+ years of experience in related fields
• Prior experience in ad tech, marketing science, or related domains where creatives, auctions, or optimization systems are central to performance
• Hands-on experience with creative analytics (e.g., format benchmarking, asset-level performance analysis, interaction or engagement modeling)
• Experience collaborating closely with ML teams to design, evaluate, and iterate on model features and policies
• Excellent communication skills: ability to synthesize complex analytical findings into simple, actionable narratives for technical and non-technical audiences- Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what’s being assessed, we ask that candidates engage without AI assistance
• Failure to comply with this policy may impact your candidacy