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.

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.

Our benefits and resources support you to find balance and be your best.
Accommodations available upon request during the application or the recruiting process.

Data Scientist

Key skills