M
Moloco
Senior Data Scientist (Growth Analytics)
Skills
SQL QueriesMobile DevelopmentPythonProduct StrategyData ScienceData Analysis
19 days ago
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Important information
Contract type:
Permanent
Salary:
$180,000 – $225,000 / year
Location:
United States
Work mode:
Onsite
Published on:
8 October 2026
What they need
- 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
- 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
- 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- 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
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