Jobs / United States / Salesforce INC

Senior Data Scientist - GTM

Salesforce INC · 🇺🇸 5 Locations

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 1,544 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 498 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 Salesforce INC paid sponsored hires in similar roles18 certified filings for “Data Scientist Senior” (Data Scientists) in CA: $171k–$250k, median $213k. Most were filed at wage level III (56%) — 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.

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Sponsor Radar — Salesforce INC

1,544 H-1B filings certified since Oct 2025

The US Department of Labor certified 1,544 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 498 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 Salesforce INC →

About the role

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Role We are looking for an experienced Senior Data Scientist to support Slack's Go-to-Market (GTM) organization. In this role, you will partner with Sales Strategy, Sales Programs, Product, Finance, and Data teams to uncover opportunities that accelerate growth, improve customer outcomes, and shape GTM strategy through data. You will work on some of Slack's highest-impact business questions, applying advanced analytics, experimentation, and statistical methods to understand customer behavior, evaluate strategic initiatives, and optimize GTM performance. As Slack continues to invest in AI-powered selling and customer intelligence, you will help define the analytical frameworks, predictive models, and measurement systems that enable smarter decisions at scale. You will collaborate closely with Engineers, Business Leaders, and Researchers to identify opportunities, influence strategic direction, and build a culture of evidence-based decision making. Slack has a positive, diverse, and supportive culture. We look for people who are curious, inventive, and strive to improve every day. In our work together, we aim to be smart, humble, hardworking, and, above all, collaborative. If this sounds like a great fit, we'd love to hear from you. What You Will Be Doing • Partner with GTM leadership to identify strategic opportunities, evaluate business performance, and influence key business decisions. • Apply statistical methods, experimentation, and advanced analytics to understand customer behavior, sales performance, and drivers of business growth. • Develop predictive models, segmentation frameworks, and forecasting methodologies that improve GTM planning and execution. • Design measurement strategies and success metrics to evaluate products, programs, and strategic initiatives. • Conduct deep-dive analyses to identify opportunities for revenue growth, customer adoption, operational efficiency, and field productivity. • Build scalable analytical frameworks that uncover trends, quantify business impact, and support executive decision making. • Partner with Data Engineering to develop trusted datasets and scalable analytical foundations that enable advanced modeling and experimentation. • Collaborate with Product and Sales Strategy to develop intelligence solutions that connect account health, product usage, customer engagement, and seller actions into actionable recommendations. • Translate complex analyses into compelling narratives, executive presentations, dashboards, and written recommendations tailored to both technical and non-technical audiences. • Champion evidence-based decision making by improving access to trusted metrics, analytical methodologies, and strategic insights across the GTM organization. What You Should Have • 4+ years of industry experience applying data science, statistics, or quantitative analysis to solve complex business problems. • Advanced proficiency in SQL and at least one programming la

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Source: Employer career site (Workday) First seen: 2026-10-01 Last confirmed: 2026-10-03 How our data works → Report this job

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