Jobs / United States / Salesforce INC

Salesforce INC

Decision Scientist Lead

2 Locations Posted today

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Skills this job asks for

SalesforceCRMCustomer successBudgetingStatisticsProduct managementLeadershipMachine learningPythonSQL

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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.
  • 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 Salesforce INC paid sponsored hires in similar roles2 certified filings for “Decision Scientist Senior” (Data Scientists) in TX: $149k–$189k, median $169k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
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 Salesforce INC paid sponsored hires in similar roles
2 certified filings for “Decision Scientist Senior” (Data Scientists) in TX: $149k–$189k, median $169k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% 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.

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. Department Overview - Data Solutions is the force that propels Salesforce into the 4th Industrial Revolution informing through trusted data and artificial intelligence the path forward to be smarter in every dimension. From financial forecasting, customer health, and adoption insights to the utmost trusted and curated data, the Data Solutions team is the unbiased partner to all data trailblazers at Salesforce. This role will lead the team developing data foundation, metrics and insights for Data 360 Responsibilities • Thought leader and trusted advisor to the T&P leaders, specifically the General Manager, COO, Product Owners, and other Cross-functional decision makers leading Data 360. • Contribute to a team of high-achieving, innovative, fast-paced team of analysts, data engineers, and visualization engineers that partners with cross-functional teams to understand the business problem, gather information, synthesize data, apply mathematical and statistical methods to test hypotheses, and overlay business context to know why something happened (descriptive analytics) and provide recommendations on what to do about it (prescriptive analytics).  • Master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams. • Inform the product roadmap development and execution for Data 360 product analytics, including releasing data products, dashboards and other analytical work related to Data 360 and associated products. • Foster deep collaboration with cross-functional partners to establish the roadmap for the team, prioritize the most impactful work, and guide the team in solving ambiguous and complex problems. • Develop the metrics and product insights required for Salesforce to grow Data 360 adoption and consumption Required Skills • 8+ years of demonstrated experience as a data science or analytics professional, with a proven track record of delivering impact through modeling and/or analytics.  • MBA or Master’s in Technology (computer science, computer engineering, economics, applied math, statistics, engineering, or other quantitative field). • Proven experience working directly with senior executive leadership, and delivering enterprise-scale predictive modeling initiatives and applications. • Expert communicator in written and verbal form; ability to work well with executives, and technologists, and able to lead and influence across all levels of the organization. • Proven experience thinking out-of-the-box and solving tough problems. • Proficient in statistics or machine learning, strong data manipulation, product analytics, and statistical analysis skills • Adept proficiency in Python or R (specifically the PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit-learn). • Mastery of SQL for complex data extraction, feature engineering, and performance tuning within cloud data warehouses • Strategic problem solver who simplifies problems

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