Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet.

Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture) , the AI system behind every Moloco product.

At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next.

Growth Data Science (GDS) is Moloco's global team of data scientists who partner with advertisers, sales, product, and engineering teams to maximize the effectiveness of Moloco Ads. As a Senior Data Scientist, you will hold one of the most cross-functional, high-visibility roles in the team - serving as the primary bridge between the commercial objectives of our advertisers and the technical direction of the Moloco Ads product.

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.

You will work in the overlap of customer-facing data science and product strategy, partnering daily with product, engineering, sales, and GTM teams to ensure that what Moloco builds gets activated effectively and that what advertisers need shapes what we build next.

The 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.

Minimum Requirements

• 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.
• 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.

Compensation & Benefits

U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).

The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.

The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location.

• Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
• Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
• Region C: All other U.S. locations

$180,000 — $225,000 USD

$162,000 — $202,500 USD

$153,000 — $191,250 USD

Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region.

• Lead with Humility: Everyone’s voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success.
• Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
• Create Real Value: We pursue the most impactful opportunities with intensity and rigor. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
• Go Further Together: We’re one team working towards one vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

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AI Use in Interviews

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. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.