Support translation of strategic direction into analytical problems and actionable data science initiatives, ensuring data science alignment with organizational goals and long-term vision.

Present clear, actionable insights and technical roadmaps to technical and non-technical stakeholders at all levels.

Collaborative Partners:

• Customer Success Leadership: define priority use cases and success metrics for AI-driven initiatives
• Product & Engineering: embed data-science solutions into product features and roadmaps
• Data Platform & MLOps: utilize internal infrastructure for data access, orchestration, and scalable deployments
• Business Operations & Finance: validate model assumptions, quantify ROI, and support strategic planning

Role Requirements:

• Education: Bachelor’s or Master’s in quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline
• Experience: 2–5 years of hands-on experience building and deploying machine-learning solutions—especially recommender systems—in a SaaS or customer-facing environment
• Technical Proficiency: Proficient in Python (or R) and ML frameworks (scikit-learn, TensorFlow, PyTorch); expertise with data tools (SQL, Spark, Airflow) and cloud platforms (AWS, GCP, Azure)
• AI & Next-Gen Models: Demonstrated experience with embedding techniques, transformer-based models, and graph ML for large-scale recommendations
• Business Acumen: Strong analytical mindset; able to translate model outputs into clear business recommendations and track impact through defined KPIs
• Communication & Influence: Excellent at distilling complex technical concepts for non-technical audiences and driving alignment across teams
• Self-Starter: Thrives in ambiguous environments; owns projects end-to-end and iterates based on feedback

Preferred Qualifications:

• Enterprise-Scale Recommenders: Previous hands-on experience building and scaling recommender systems at major technology platforms
• Top-Tier Consulting Background: Prior experience at a leading strategy firm with demonstrated ability to translate complex analysis into clear recommendations
• LLM Proficiency: Hands-on experience leveraging large language models (e.g., GPT-4) for data augmentation, prompt engineering, or analytics automation
• Advanced AI Use Cases: Proven track record of applying cutting-edge techniques—transformer fine-tuning, embedding retrieval, graph neural networks—to build production recommender or decision-support systems

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For New York-based roles, the base salary hiring range for this position is $138,800 to $233,200.