Jobs / United States / Upgrade INC
Senior Data Scientist - Flex Pay
Upgrade 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 27 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 13 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 Upgrade INC paid sponsored hires in similar roles1 certified filing for “Data Engineer” (Database Architects) in CA: $204k–$204k, median $204k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. The pay stated here ($100,000-$150,000) is below what this employer usually pays sponsored hires for this role. 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 — Upgrade INC
The US Department of Labor certified 27 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 13 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 Upgrade INC →
About the role
About the Role: We are seeking a highly analytical and results-driven Data Scientist to join our buy now pay later (BNPL) sector called Flex Pay. You will play a key role in building predictive risk models, optimizing offers and pricing, and extracting insights that drive product development, risk mitigation, and customer strategy. This role requires a strong foundation in statistics, machine learning, and programming. This position is based in our San Francisco office in a hybrid capacity, specifically on Wednesdays and Thursdays. What You’ll Do : • Build and maintain credit and fraud policy simulators used to ensure properly functioning systems and identify risk decisioning enhancements. • Build and deploy statistical models and machine learning algorithms to solve business problems in areas like credit risk, fraud detection, pricing, customer segmentation, and marketing attribution. • Validate models to identify factors that may affect model performance. • Analyze large, structured and unstructured datasets using SQL, Python or similar tools. • Stay up to date with the latest trends and technologies in data science and fintech, actively research new tools and techniques available for model development. • Collaborate with cross-functional teams including risk, marketing, product, and engineering to define data-driven strategies. What We Look For : • Advanced Degree (MS/PhD) in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative discipline. • 3-5+ years of hands-on experience in a data science or analytics role, preferably in financial services. • Experience and/or strong interest in machine learning techniques (Random Forest, Gradient Boosted Trees, etc.) strongly preferred. • Strong proficiency in Python (Pandas, Numpy, Scikit-learn) and SQL. • Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.). • Proactive, driven, and ability to work in a fast paced environment. Nice to Have : • Experience with data visualization tools (e.g., Tableau, Power BI). • Experience with AI tools such as Claude • Experience with data technologies like PySpark. • Understanding of financial services concepts such as credit scoring, portfolio risk, or customer lifetime value. What We Offer You : • Competitive salary and stock option plan • Paid coverage of medical, dental and vision insurance • Competitive 401(k) and RRSP program • Flexible PTO • Opportunities for professional growth and development • Paid parental leave • Health & wellness initiatives The compensation range of this position in San Francisco, CA is USD $100,000-$150,000 annually plus equity and benefits. Within this range, an individual's base pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience.