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About the Role

Salesforce is seeking a Lead in Workforce Intelligence with a specialized focus on Machine Learning and Applied Research. In this role, you will drive the end-to-end lifecycle of workforce research, from problem formulation and experimental design to the delivery of high-fidelity predictive models. You will combine deep technical expertise in Machine Learning with a consulting mindset to help leaders decode complex workforce patterns and employee experiences. This is an individual contributor (IC) role expected to lead through influence, technical expertise, and cross-functional collaboration.

Responsibilities

Define ambiguous business challenges as rigorous research questions.
Assess and prioritize new work for scope and urgency, managing stakeholder expectations and pivoting based on changing business needs.
Conduct mid-to-high complexity data analyses, building robust Machine Learning models (predictive and descriptive) on structured and unstructured enterprise data.
Lead the development of causal identification strategies to determine the effectiveness of talent initiatives.
Drive the "productization" of data by architecting high-impact, self-service analytics tools.
Ensure models and dashboards integrate seamlessly with existing business tools to provide actionable, real-time insights.
Lead the strategic narrative on workforce data by translating complex ML outputs into clear, compelling narratives.
Articulate findings clearly to inform specific stakeholder actions, demonstrating how data leads to concrete outcomes.
Remain at the forefront of emerging AI, Agents, and LLMs.
Proactively champion their adoption and train others on new solutions to ensure they integrate into a human-centric talent model.
Partner with cross-functional peers (e.g., Data Engineering, Finance, Business Partners) on projects involving people data or metrics, ensuring alignment and providing high-quality, accurate insights.

Requirements

Master’s or PhD in a highly quantitative or computational research field (e.g., Computer Science, Data Science, I/O Psychology, Econometrics, or Statistics).
5+ years of experience in data science, people analytics, or applied research, with a track record of delivering scientific insights to leadership (Director+).
Mastery of Python or R and SQL is required.
Proficient in performing data manipulation, statistical modeling, and automation within a code-based environment.
Expert-level proficiency in Tableau; experience architecting visuals that simplify complex, heterogeneous enterprise data.
Experience with ML frameworks (e.g., Scikit-learn, PyTorch, TensorFlow) and advanced techniques, including NLP, clustering, or LLM-driven labeling.
Deep understanding of experimental design, causal inference, and computational statistics.
Exceptional skills in translating complex technical concepts for non-technical audiences and informing specific team or stakeholder actions.
Proven ability to operate with moderate autonomy, handling day-to-day projects independently while seeking guidance for high-level strategy and prioritization.

Skills

Machine Learning
Applied Research
Python
R
SQL
Data Manipulation
Statistical Modeling
Automation
Tableau
NLP
Clustering
LLM-driven labeling
Experimental Design
Causal Inference
Computational Statistics
Communication
AI
Agents
LLMs

Experience Level

5+ years of experience

Education Level

Master’s or PhD

Salary/Compensations

$148,500 - $223,900 annually

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program

About the Company

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 we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era?
Agentforce is the future of AI, and you are the future of Salesforce.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
Salesforce believes in equality for all.
Salesforce believes we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
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.