Staff Data Scientist, Growth Data Science

About the role

This is a newly created role designed to fill a critical gap: the need for a senior, technically strong, DS who can both drive performant activation of Moloco products with our largest advertisers and synthesize customer signals into product priorities. A key component of this scope will be operating globally across GDS - creating the frameworks, playbooks, and product feedback loops that the broader team can scale.

Impact you'll have

• Strategic Advertiser Engagement
  • Partner directly with Moloco’s top tier of advertisers to ensure they are extracting maximum value from the Moloco product suite, advising on campaign structure, measurement, bidding strategy, and optimization levers.
  • Translate account insights into product roadmap signals - feeding structured product and GTM feedback upwards
  • Set the standard for GDS advertiser engagement as a model others learn from
• Product Strategy & Roadmap Influence
  • Build and scale activation frameworks that regional GDS teams can run across their books - moving the team from ad hoc activation to a repeatable, scalable model.
  • Serve as a senior technical voice from GDS in product conversations - bringing the depth of advertiser insight and analytical rigor needed to influence roadmap decisions at the highest level.
  • Systematically collect, synthesize, and communicate customer feedback and market signals to product and engineering, ensuring the Moloco roadmap is grounded in real advertiser needs.
  • Partner with product DS and engineering teams to define success metrics, design experiments, and evaluate new product features before and after launch.
  • Translate complex, ambiguous advertiser problems into clear product requirements and value propositions, acting as a credible interpreter between commercial and technical teams.
• Global Frameworks & Team Leverage
  • Define and own the GDS approach to product activation globally. Building frameworks, tools, and best practices that elevate the impact of the entire team.
  • Act as a thought leader within GDS: setting a high bar for analytical rigor, stakeholder communication, and cross-functional influence.
  • Work across AMER, EMEA, and APAC GDS teams to ensure consistency in how we bring product to market and how we surface customer insight back to the business.

Requirements

• Education: Bachelor's degree in a quantitative discipline (Statistics, Computer Science, Economics, Mathematics, Physics, or equivalent practical experience).
• Experience: 8+ years in data science, analytics, or a closely related quantitative field, with significant time in a customer-facing or product-facing IC capacity.
• Statistics: Strong foundation in experimental design, hypothesis testing, regression, and causal inference methods.
• Programming: Proficiency in Python and SQL is required. Experience with large-scale data platforms (e.g., BigQuery) preferred.
• Communication: Exceptional verbal and written communication skills. Proven ability to distill complex technical concepts into clear recommendations for non-technical audiences up to C-level.
• Stakeholder management: Demonstrated ability to build and maintain credibility with cross-functional partners across product, engineering, sales, and GTM functions.
• Ownership: Proven ability to own projects end-to-end in ambiguous problem spaces, with a track record of driving them to measurable outcomes.
• Leadership: Demonstrated self-direction and senior-level judgment. Comfortable operating without a playbook and building one where none exists.

Preferred qualifications

• Graduate degree (Master's or PhD) in a quantitative discipline.
• Prior experience in ad tech, programmatic advertising, DSP/SSP, or performance marketing. Strong familiarity with mobile app ecosystems and MMP measurement frameworks.
• Experience working with or at a mobile app advertiser (gaming, fintech, social) with direct exposure to UA strategy, LTV optimization, or monetization.
• Hands-on experience shaping product roadmaps as a DS - not just evaluating features, but actively influencing what gets built and why.
• Track record of building scalable frameworks, playbooks, or methodologies that have been adopted by a wider team.
• Familiarity with incrementality testing methodologies (geo holdouts, ghost bidding, PSA tests) and their practical application with advertisers.