Data Scientist

Benefits

Parental leave

26 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

12 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist India - Bangalore; India - Hyderabad About the Role We're looking for a Senior Member of Technical Staff (SMTS) to own the end-to-end data science and software systems that power predictive and agentic intelligence for Sales Cloud. You'll work at the intersection of cutting-edge AI and real-world sales outcomes - building models that help sellers close deals faster, understand pipeline risk, and take action with confidence. This is a high-ownership, high-impact role. You'll independently design, train, and operationalize models in Model Builder, stand up rigorous evaluations for agentic workflows, and deliver explainable signals - from opportunity scoring to deal-risk insights - that sellers genuinely act on. You'll be the recognized SME in your domain, influencing product roadmaps and coaching junior engineers along the way. About the Team We're part of C360 Apps - Sales Cloud, building AI and data science applications used by Sales Cloud customers worldwide. Our work spans predictive ML, forecasting, and sales planning - all powered by Agentforce, Data Cloud (Data 360), Model Builder, and the latest LLM tooling. We sit at the frontier of intelligent, data-driven selling and are shaping what that looks like for the next generation of Salesforce products. What You'll Do Design, train, and deploy production ML models for core Sales Cloud use cases: opportunity scoring, deal-risk detection, and seller-facing explainable insights Build and operationalize agentic workflows on Agentforce, including LLM-as-judge evaluation frameworks and agentic evaluation metrics Partner closely with Product Management to help shape and drive the roadmap - bringing

Read the full description at careers.salesforce.com. FewerJobs shows a preview and links to the original posting.