Senior Data Scientist (Growth Analytics)

Join Moloco, a leading technology company in the ad tech industry. As a Senior Data Scientist in Growth Analytics, you will partner directly with top-tier advertisers, translating insights into product roadmap signals and setting the standard for advertiser engagement. You will build and scale activation frameworks, serve as a senior technical voice in product conversations, and systematically collect and communicate customer feedback. You will also define and own the global approach to product activation and act as a thought leader within the organization.

- Partner directly with top-tier advertisers to maximize value from the Moloco product suite, advising on campaign structure, measurement, bidding strategy, and optimization. - Translate account insights into product roadmap signals, feeding structured product and GTM feedback upwards, and serving as a senior technical voice in product conversations. - 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.

- Stakeholder management: Demonstrated ability to build and maintain credibility with cross-functional partners across product, engineering, sales, and GTM functions - 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 - Leadership: Demonstrated self-direction and senior-level judgment. Comfortable operating without a playbook and building one where none exists - Education: Bachelor's degree in a quantitative discipline (Statistics, Computer Science, Economics, Mathematics, Physics, or equivalent practical experience) - Experience: 4+ years in data science, analytics, or a closely related quantitative field, with significant time in a customer-facing or product-facing IC capacity - Programming: Proficiency in Python and SQL is required. Experience with large-scale data platforms (e.g., BigQuery) preferred - Ownership: Proven ability to own projects end-to-end in ambiguous problem spaces, with a track record of driving them to measurable outcomes - Statistics: Strong foundation in experimental design, hypothesis testing, regression, and causal inference methods - 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 - Track record of building scalable frameworks, playbooks, or methodologies that have been adopted by a wider team - Hands-on experience shaping product roadmaps as a DS - not just evaluating features, but actively influencing what gets built and why - Familiarity with incrementality testing methodologies (geo holdouts, ghost bidding, PSA tests) and their practical application with advertisers