About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
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 HaveStrategic 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
- 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.
- 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.
- 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
Salary Ranges:
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. 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 rigor and integrity. 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 mission and 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.
Additional Resources:
- Moloco Company Blog
- Moloco Leadership
- Moloco Newsroom
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.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Skills Required
- Bachelor's degree in Statistics, Computer Science, Economics, Mathematics, Physics, or an equivalent quantitative discipline; equivalent practical experience accepted
- 4+ years of experience in data science, analytics, or a closely related quantitative field
- Significant experience in a customer-facing or product-facing individual contributor capacity
- Strong foundation in experimental design, hypothesis testing, regression, and causal inference
- Proficiency in Python and SQL
- Exceptional verbal and written communication skills, including explaining technical concepts to nontechnical and C-level audiences
- Ability to build credibility with product, engineering, sales, and go-to-market stakeholders
- Experience owning projects end-to-end in ambiguous problem spaces and driving measurable outcomes
- Senior-level judgment, self-direction, and ability to create processes where none exist
- Graduate degree in a quantitative discipline
- Experience with large-scale data platforms such as BigQuery
- Experience in ad tech, programmatic advertising, DSP/SSP, or performance marketing
- Familiarity with mobile app ecosystems and MMP measurement frameworks
- Experience with mobile app advertiser user acquisition strategy, LTV optimization, or monetization
- Experience shaping product roadmaps as a data scientist
- Track record of building scalable frameworks, playbooks, or methodologies adopted by wider teams
- Familiarity with incrementality testing methods such as geo holdouts, ghost bidding, and PSA tests
What We Do
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 built AI advertising systems at some of the world’s largest technology companies, Moloco was created to bring that same level of technology to businesses beyond the major platforms. Today, Moloco is one company with two businesses built on the same compound AI system. Moloco Ads is an AI-native performance advertising platform that helps mobile app marketers acquire, retain, and re-engage high-value users across mobile and connected TV. Moloco Commerce Media helps retailers and marketplaces build and scale their own advertising businesses using first-party data, shopper attention, and AI. Behind every Moloco product is CARA, our Compound Ad Recommendation Architecture, which continuously learns across billions of signals to make advertising decisions in real time. Headquartered in Menlo Park, California, Moloco has more than 850 employees across 13 global offices. Our teams span software engineering, machine learning, applied science, product, design, sales, marketing, customer success, and corporate functions. At Moloco, our business grows when our customers succeed. We combine advanced AI technology with hands-on expertise to help businesses create measurable growth and build for what comes next.
Why Work With Us
At Moloco, you’ll work with a global team solving world-scale problems in AI advertising. We combine deep technical expertise with curiosity, ownership, and collaboration to build frontier technology, create real value for customers, and keep pushing what’s possible.
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