Jobs / United States / BLEND360 LLC
Lead Data Scientist
BLEND360 LLC · 🇺🇸 Stamford, CT, US
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 22 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 6 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 BLEND360 LLC paid sponsored hires in similar roles2 certified filings for “Lead Data Scientist” (Data Scientists) in WA: $130k–$163k, median $147k. Most were filed at wage level II (50%) — 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 — BLEND360 LLC
The US Department of Labor certified 22 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 6 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 BLEND360 LLC →
About the role
This role sits within the client's Customer 360 (C360) team and is ideal for a data scientist who enjoys working directly with data, uncovering meaningful insights, and translating analysis into actionable business recommendations. You'll work in a client data sandbox to investigate patterns, identify signals, and help determine what the business should be measuring to better understand customer outcomes and the impact of AI initiatives. The ideal candidate is an independent operator who thrives with minimal oversight, is genuinely fascinated by data, and enjoys getting into the details of analytical problems. While this is not a traditional client-facing consulting role or a people management position, strong communication skills and the ability to collaborate effectively with stakeholders are essential. You'll have the opportunity to contribute to initiatives that connect data science, customer analytics, and AI-driven business outcomes, helping teams understand how to measure success and identify opportunities for improvement. The Details: • Location: Hybrid 3 days per week onsite in Stamford, CT • Duration: 6-month consulting role with potential conversion to hire (must be able to work on Blend’s W2 without requiring employer sponsorship either now or in the future) • Benefits: We do offer benefits to our full-time consultants and employees, including Health, Vision, Dental, 401K plan, Life Insurance, Employee Assistance Programs, and an incredibly supportive team cheering you on! What you’ll do: Data Analysis & Business Insights • Work hands-on with data within the client's analytical sandbox to investigate business questions and uncover meaningful insights. • Analyze customer and business data to identify patterns, signals, and trends that can inform decision-making. • Explore available data to help determine what the business should be measuring and why those measurements matter. • Translate analytical findings into clear, actionable conclusions and recommendations. • Investigate opportunities to improve how data is used to understand customer behavior, engagement, and business performance. • Apply curiosity, critical thinking, and a methodical approach to uncovering insights from complex datasets. AI Initiative Measurement & Success Metrics • Help define and establish success metrics for AI initiatives developed through the Customer 360 program. • Identify relevant KPIs and leading indicators to evaluate the effectiveness and impact of AI-driven initiatives. • Support the development of measurement approaches for business outcomes such as return on investment (ROI), customer engagement, and customer lifetime value (CLTV). • Analyze data to assess initiative performance and identify opportunities for optimization. • Partner with stakeholders to connect analytical findings to business objectives and measurable outcomes. • Help establish a clear understanding of how success should be defined, tracked, and evaluated across AI initiatives. Independent Problem-Solving & Collaboration • Operate independently, managing analytical work with minimal day-to-day oversight. • Take ownership of assigned projects and work through ambiguity to identify the appropriate analytical approach. • Collaborate with members of the Customer 360 team and relevant business stakeholders to understand priorities and deliver meaningful insights. • Communicate findings, recommendations, and potential implications in a clear and accessible manner. • Use sound judgment and interpersonal awareness to navigate stakeholder interactions and adapt communication to the audience. • Balance deep technical analysis with the ability to explain what findings mean for the business. Required Qualifications • Experience working as a hands-on da