Jobs / United States / Adobe INC
Staff Data Scientist
Adobe INC · 🇺🇸 San Francisco
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 1,036 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 221 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 Adobe INC paid sponsored hires in similar roles170 certified filings for “Machine Learning Engineer” (Data Scientists) in CA: $164k–$215k, median $184k. Most were filed at wage level II (45%) — 2 lottery entries, ≈31% 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.
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Sponsor Radar — Adobe INC
The US Department of Labor certified 1,036 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 221 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 Adobe INC →
About the role
The Opportunity The world of design is changing rapidly, and the Pro Design team is leading that transformation. We are the Adobe organization behind Illustrator, InDesign, and emerging experiences that connect creativity, collaboration, and AI. Our teams are reimagining what professional design looks like for the next decade - building intelligent, connected tools that empower creators and teams to move faster without sacrificing craft. We are looking for a Staff Data Scientist to be the analytical backbone of our product teams. This is a generalist role for someone with strong statistics foundation who moves fluidly between analysis, experimentation, and modeling, and who is as rigorous about the method as they are clear in the recommendation. Join us and build Adobe’s future products! What you'll Do • Partner with Product, Engineering, and Design as an embedded data science lead, translating ambiguous questions into structured analysis and actionable recommendations. • Define and steward core product metrics, partnering with our analytics engineering foundation to keep definitions trustworthy and consistent. • Develop and run experiments end to end and improve on experimental rigor throughout various products. • Build predictive, propensity, or segmentation models, collaborating with applied scientists and ML engineers as those capabilities grow. • Build internal data products that leverage AI to scale the team’s reach across the organization. What you need to succeed Minimum Requirements: • Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or similar) or equivalent practical experience. • 10+ years of experience in data science, product analytics, or a similar quantitative role. • Strong foundation in statistics and experimentation design, and advanced experimentation techniques (CUPED, sequential testing, heterogeneous treatment effects). • Proficiency in SQL and Python (or R) for data manipulation, analysis, and modeling. • Experience building segmentation and predictive models (propensity, churn, LTV) to drive product or marketing actions. • Sound product judgment and stakeholder management • Fluency with AI-assisted and agentic workflows Preferred Requirements: • MS or Ph.D. in Statistics, Computer Science, Engineering, or relevant technical field, or equivalent experience. • Background in consumer product analytics, especially in creative tools, SaaS, or subscription businesses. • Deep expertise in both online and offline model evaluation. • Familiarity with product analytics tools (e.g., Adobe Analytics, Amplitude, FullStory) and experimentation platforms. • Experience working with modern data stacks (preferably Databricks, Spark). About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose a