Salesforce · 6 hours ago
Manager, Strategic Data Science
United States
Full-time
Remote
Mid, Senior Level
$116K/yr - $214K/yr
2+ years expSalesforce is the #1 AI CRM, where humans with agents drive customer success together. As a Strategic Data Scientist, you will own the end-to-end design, development, and production deployment of advanced AI and data-driven solutions, building scalable machine-learning models to solve complex business challenges.
Artificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
Responsibilities
Collaborate with customer success, product, engineering, and sales teams to define KPIs and analytical approaches that answer key business questions
Design, build, and deploy machine learning and AI models (classification, regression, NLP, recommendation engines, etc.) to identify at-risk customers, predict attrition, and assess impact of product offerings
Develop customized recommendation engines that suggest next-best actions for customers (collaborative filtering, content-based, hybrid, graph-based techniques, etc.)
Drive the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, testing, and automated retraining workflows
Architect high-performance data pipeline for massive, multi-source datasets (streaming, batch, semi-structured), ensuring optimal storage, fast query performance, and high data integrity in hybrid cloud environments
Monitor production model performance by tracking key metrics like accuracy, drift, and latency. Leverage A/B testing and establish feedback loops to drive continuous improvement and rapid iteration
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
Qualification
Required
Bachelor's or Master's in quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline
2–5 years of hands-on experience building and deploying machine-learning solutions—especially recommender systems—in a SaaS or customer-facing environment
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)
Demonstrated experience with embedding techniques, transformer-based models, and graph ML for large-scale recommendations
Strong analytical mindset; able to translate model outputs into clear business recommendations and track impact through defined KPIs
Excellent at distilling complex technical concepts for non-technical audiences and driving alignment across teams
Thrives in ambiguous environments; owns projects end-to-end and iterates based on feedback
Preferred
Previous hands-on experience building and scaling recommender systems at major technology platforms
Prior experience at a leading strategy firm with demonstrated ability to translate complex analysis into clear recommendations
Hands-on experience leveraging large language models (e.g., GPT-4) for data augmentation, prompt engineering, or analytics automation
Proven track record of applying cutting-edge techniques—transformer fine-tuning, embedding retrieval, graph neural networks—to build production recommender or decision-support systems
Benefits
Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Company
Salesforce
Salesforce is a cloud-based software company that provides customer relationship management software and applications.
10001+ employees
H1B Sponsorship
Salesforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1883)
2024 (2296)
2023 (1850)
2022 (2849)
2021 (2124)
2020 (1960)
Funding
Current Stage
Public CompanyTotal Funding
$65.38MKey Investors
Starboard ValueEmergence CapitalHalsey Minor
2022-10-18Post Ipo Equity
2004-06-23IPO
2003-01-01Series Unknown· $1M
Leadership Team
Arundhati Bhattacharya
CEO & Chairperson, Salesforce India and South Asia
Marc Benioff
Chair & CEO
Recent News
LogisticsGulf
2025-12-30
2025-12-30
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