Description Position OverviewWe are seeking an experienced Lead Data Scientist (LMTS) to drive data science innovation in predictive modeling and AI within Salesforce’s infrastructure domain. As a technical leader, you will design, deploy, and operationalize advanced forecasting and anomaly detection models at scale. You will also shape the roadmap for integrating foundation models and LLMs into production forecasting workflows, enabling faster root cause analysis, proactive recommendations, and automated insights for stakeholders across capacity, cost, and infrastructure planning.This is a hands-on technical leadership role: you will not only build models but also set technical direction, mentor other data scientists, and raise the bar for reproducibility, scalability, and explainability across our platform.ResponsibilitiesLead the design, development, and deployment of high-impact forecasting models used across capacity planning, FinOps, and infrastructure cost management.Partner with cross-functional leaders (capacity planners, finance, engineering) to shape requirements, influence priorities, and ensure models solve real-world infrastructure challenges.Act as a multiplier on the team by mentoring SMTS/MTS data scientists, providing technical coaching, and instilling best practices in reproducibility, CI/CD, monitoring, and model lifecycle management.Drive the adoption of LLMs and foundation models in applied infrastructure management — defining architectures, guiding experimentation, and leading integration into production workflows.Own end-to-end quality of deliverables, ensuring models are accurate, robust, observable, and aligned with trust and security standards.Contribute to the broader data science community at Salesforce by sharing methodologies, influencing platform standards, and reviewing technical designs across teams.Champion continuous improvement in data science processes, proactively addressing tech debt, standardizing pipelines, and defining metrics (SLIs/SLOs) to measure forecast performance. QualificationsAdvanced technical degree in a relevant field (Computer Science, Statistics, Operations Research, Applied Math, etc.).8+ years of industry experience building and deploying machine learning solutions (time series forecasting experience strongly preferred).Proven ability to lead technical direction for data science projects, mentor junior members, and influence cross-team engineering practices.Demonstrated success delivering production-grade ML/AI systems in cloud environments (AWS/GCP), including monitoring, CI/CD, and observability.Strong expertise in time series forecasting and ML methods; familiarity with foundation models and LLMs in applied data science.Proficiency in Python and modern DS/ML tools (mlFlow, Airflow, Docker, Spark, SQL, Pandas/Sklearn).Strong communicator, capable of influencing both technical and non-technical stakeholders, and of synthesizing complex data science concepts into actionable insights.Track record of driving measurable business impact through data science solutions at scale.BENEFITS & PERKSComprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!World-class enablement and on-demand training with Trailhead.comExposure to executive thought leaders and regular 1:1 coaching with leadershipVolunteer opportunities and participation in our 1:1:1 model for giving back to the communityFor more details, visit https://www.salesforcebenefits.com/