Data Scientist

🔥 13 minutes ago

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Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

SaaS • B2B • Artificial Intelligence

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• 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

🎯 Requirements

• 5-7 years of 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

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development