AdTechTalent
Data Science2 months agoOn-site

Moloco

Staff Data Scientist, Product Analytics - Creatives

machine learningdata scienceproduct analyticscreative analyticsad techoptimizationexperimentationmodel evaluationcommunicationcreative systems

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Menlo Park, United States; San Francisco, United States; Seattle, United States; Seoul, South Korea

Full job description

Moloco seeks a Staff Product Data Scientist to lead analytics and product strategy for creative systems in its AI-powered advertising platform. The role requires 8+ years of experience in data science or product analytics, with a strong background in partnering with product and engineering teams. Responsibilities include establishing frameworks to measure creative impact, building monitoring tools, and co-owning the creative roadmap. Candidates should have experience in ad tech or marketing science, creative analytics, and collaborating with ML teams. The position offers comprehensive benefits and competitive salary ranges based on location.

What you'll do

  • Act as a thought leader in the creative domain influencing high-stakes product decisions
  • Establish a trusted, repeatable framework for measuring creative impact to support faster and confident shipping of creative features
  • Build durable monitoring, diagnostics, and documentation to increase transparency of creative performance and adoption
  • Co-own the creative roadmap as an analytical and product thought partner for the Creatives team
  • Drive data narrative across ideation, launch, and iteration of creative features and strategies

Requirements

  • 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 years of experience) in data science, product analytics, or a closely related quantitative field, including significant time as a product-facing individual contributor
  • Proven track record of partnering with Product and Engineering to shape roadmaps, define success metrics, and drive decisions through data
  • Ability to operate with high ownership and autonomy, including scoping ambiguous problems and driving them to closure
  • Comfort working across time zones and with distributed teams, using strong asynchronous communication and documentation habits
  • Preferred: Graduate or PhD degree in a quantitative field with 10+ years of experience
  • Preferred: Prior experience in ad tech, marketing science, or related domains focused on creatives, auctions, or optimization systems
  • Preferred: Hands-on experience with creative analytics such as format benchmarking, asset-level performance analysis, interaction or engagement modeling
  • Preferred: Experience collaborating closely with ML teams to design, evaluate, and iterate on model features and policies
  • Preferred: Excellent communication skills to synthesize complex analytical findings into simple, actionable narratives for technical and non-technical audiences

Tech stack

machine learningdata scienceproduct analyticscreative analyticsexperimentationmodel evaluation

Benefits

Medical, dental, and vision insurance (U.S.-based employees)401(k) plan with company matchShort-term and long-term disability coverageBasic life insuranceWell-being benefits and perksUp to 12 scheduled paid holidays per calendar year (U.S.-based employees)One Thrive Day off per quarterFlexible Time Off (FTO)Potential eligibility for bonus and equity awards based on performance

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