Data Scientist
- Salesforce
- 1 - 7 years
- Hyderabad
- 19 hours ago
- Email to a friend
- Report this job
Job Description
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 were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces 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
Were 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 Youll 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 Youll 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 Youll be the recognized SME in your domain, influencing product roadmaps and coaching junior engineers along the way
About the Team
Were 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 Youll 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 engineering perspective to prioritization and feasibility decisions
Explore and adopt new technologies: improved forecasting methods, RAG architectures, prompt tuning strategies, and emerging AI tooling
Mentor and coach junior engineers on the team
What Were Looking For
Essential:
Strong object-oriented programming skills in one or more of: Python, Java, JavaScript, C++, C#, Ruby (Python strongly preferred for ML work)
Solid experience with relational databases, SQL, PL/SQL, and schema design
Hands-on experience with both supervised and unsupervised machine learning
Experience building RAG applications and agentic workflows, including prompt tuning and optimization
Familiarity with LLM evaluation, LLM-as-a-judge patterns, and agentic evaluation metrics
Strong communication and collaboration skills you can influence without authority and bring partners along
Nice to Have:
Experience with Agentforce, Data Cloud / Data 360, Model Builder, or Salesforce BDTs
Familiarity with the Salesforce core codebase
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment What does that mean exactly It means that at Salesforce, we believe in equality for all And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination Know your rights: workplace discrimination is illegal Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: SalesforceLocation(s): Hyderabad+ View Contact
Keyskills: Product management C++ Machine learning Schema Javascript PLSQL Ruby CRM Python Salesforce
Fraud Alert to job seekers!
₹ Not Disclosed
Similar positions
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in