About Moloco: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.The Impact You'll Be Contributing to Moloco:Moloco Commerce Media (MCM) enables marketplaces to leverage recent advances in AI to deliver highly relevant ads powered by first-party data. MCM has established strong product-market fit and is a key growth engine for Moloco as we expand our footprint with leading global and regional commerce platforms.
As a
Data Scientist on the MCM Data Science team, you will partner closely with Product, Engineering, and Go-To-Market teams to shape how MCM defines success, evaluates what it ships, and decides where to invest next. You will work alongside product managers from the earliest stages of a new capability through experimentation, readout, and the decisions that follow. Your work will directly inform which features MCM builds, how we know they work, and how we communicate their value to leadership and marketplace partners.
The Opportunity:In this role, you will:
- Partner with Product on strategy: Act as an independent thought partner to product managers, proactively surfacing opportunities, sizing them with data, and informing roadmap prioritization. You will bring your own point of view on what to build and why.
- Define success metrics for new product initiatives: Establish how MCM measures new capabilities, including north star and guardrail metrics, the trade-offs they encode, and the thresholds that guide ramp decisions. Align Product and Engineering on these frameworks before launch.
- Drive evaluation and experimentation: Design experiments and evaluation methodologies for product launches, including cases where standard A/B testing is insufficient. Analyze results rigorously and translate them into clear ship, iterate, or stop recommendations.
- Conduct deep-dive analyses: Use large-scale data across our ad-tech stack (ranking, retrieval, bidding, pacing) to understand how product changes affect advertiser outcomes and marketplace dynamics, and turn findings into actionable recommendations.
- Communicate insights clearly: Distill complex analyses into narratives that product, engineering, and non-technical stakeholders can act on. Deliver launch readouts and contribute the data narrative to product reviews.
- Uphold data science excellence: Apply best practices in analysis, modeling, and experimentation, and contribute to a strong data culture within the MCM team.
How Do I Know if the Role is Right For Me?- You want to shape products, not just measure them, and are comfortable speaking up when the data disagrees with the plan.
- You operate independently in ambiguity, turning an open-ended product question into a structured analytical plan without waiting for a spec.
- You are energized by fast-moving, early-stage product work, where metrics do not yet exist and evaluation methods have to be invented.
- You are a strong collaborator who builds trust with product, engineering, and commercial stakeholders.
Minimum Qualifications:- 3+ years of industry experience in data science, analytics, or a related field (or an advanced degree with equivalent applied experience).
- Bachelor's, Master's and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Mathematics, etc.).
- Experience partnering with product or business stakeholders: a track record of defining success metrics, running experiments, and influencing decisions with data.
- Strong proficiency in Python and SQL, with experience analyzing large-scale datasets.
- Solid foundation in statistics, including experimental design, hypothesis testing, and various statistical analysis techniques such as regression.
- Excellent communication skills with experience presenting technical findings to non-technical stakeholders.
- Ability to build strong relationships and collaborate effectively in a global, cross-functional organization.
Preferred Qualifications:- Experience in ad-tech, marketplace, or e-commerce environments (specifically bidding, ranking, or auction logic).
- Experience evaluating machine learning or AI-driven systems in production, including offline evaluation, online experimentation, and ongoing performance monitoring.
- Familiarity with causal inference methods or evaluation approaches for products where standard A/B testing does not apply.
- Experience working with geographically distributed teams and stakeholders.
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:Region A:
$148,000-$180,000 USD
Region B:
$133,200-$165,000 USD
Region C:
$125,800-$157,250 USD
Supporting Your Best Work and Your Best Life: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.
Moloco Values: - 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.
Additional Resources: - Moloco Company Blog
- Moloco Leadership
- Moloco Newsroom
AI Use in InterviewsOur 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.
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