Skills this job asks for
LeadershipStatisticsA/B testingBudgetingSQLPythonMachine learning
Add your CV (free) to see which of these your CV is missing.
Where you can work from
United States only
Based on the listing's location: Remote (USA).
The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.
Visa sponsorship, if you would relocate
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
-
?
No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
-
?
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.
-
✓
What Meta paid sponsored hires in similar roles258 certified filings for “Data Scientist” (Data Scientists) in CA: $178k–$222k, median $191k.
-
✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- No salary bar for this route
- H-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 Meta paid sponsored hires in similar roles
- 258 certified filings for “Data Scientist” (Data Scientists) in CA: $178k–$222k, median $191k. Most were filed at wage level I (45%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.ResponsibilitiesWork with complex data sets to solve challenging problems using analytical and statistical approaches* Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies* Identify and measure success through goal setting, forecasting, and monitoring key metrics* Partner with cross-functional teams to inform and execute product strategy and investment decisions* Build long-term vision and strategy for programs and products* Collaborate with executives to define and develop data platforms and instrumentation* Effectively communicate insights and recommendations to stakeholders* Define success metrics, forecast changes, and set team goals* Support developing roadmaps and coordinate analytics efforts across teamsQualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience* Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)* 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development* Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance* Experience with predictive modeling, machine learning, and experimentation/causal inference methods* Experience communicating complex technical topics in a clear, precise, and actionable manner 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy* Masters or Ph.D. Degree in a quantitative field* Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)* 10+ years of experience doing complex quantitative analysis in product analytics* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
View original listing ↗
Remote (USA) ·