Jobs / United States / Moloco INC
Data Scientist II, Product - Moloco Commerce Media
Moloco INC · 🇺🇸 Menlo Park, California, United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 53 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 11 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Moloco INC paid sponsored hires in similar roles7 certified filings for “Senior Data Scientist” (Data Scientists) in CA: $172k–$225k, median $200k. Most were filed at wage level III (57%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Moloco INC
The US Department of Labor certified 53 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 11 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Moloco INC →
About the role
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