Salesforce · 6 days ago
Data Science Architect - AI/ML & Decision Intelligence
New York, NY
Full-time
Hybrid
Mid Level
$117K/yr - $178K/yr
3+ years expSalesforce is the #1 AI CRM, where humans with agents drive customer success together. We're seeking an exceptional Data Science Architect who specializes in building intelligent decision-making systems that drive measurable business outcomes, partnering with cross-functional teams to transform complex business problems into scalable, data-driven solutions.
Agentic AIArtificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
Responsibilities
Build Predictive Models & Decision Intelligence Systems
Design and deploy end-to-end machine learning pipelines that predict business outcomes (e.g., renewal complexity, customer churn risk, revenue forecasting)
Apply predictive modeling, causal inference, and optimization to create decision policies that maximize business KPIs
Build ranking systems using advanced metrics (e.g., NDCG) to prioritize opportunities and optimize resource allocation
Drive Innovation in Agentic AI & Enterprise Intelligence
Define the architectural relationship between Agentic AI systems and Decision Intelligence layers
Design systems where AI agents execute tasks while Decision Intelligence systems determine which actions to take based on data-driven insights
Bridge the gap between natural language understanding and quantifiable business impact
Partner with Business Teams
Collaborate with renewal managers, sales operations, and customer success teams to understand business goals and translate them into analytical problems
Present complex technical concepts to non-technical stakeholders through intuitive visualizations and explainable model outputs
Iterate on solutions based on real-world feedback and changing business needs
Technical Excellence & Best Practices
Work with Einstein Notebooks, Python, and enterprise data platforms to build production-grade ML solutions
Troubleshoot complex data pipeline issues including S3 credential management and data access patterns
Create comprehensive documentation including model cards, evaluation reports, and deployment guides
Qualification
Required
3+ years of experience in data science, machine learning, or related fields
Proficiency in Python and ML frameworks (scikit-learn, XGBoost, LightGBM, etc.)
Deep understanding of predictive modeling, classification, regression, and ranking algorithms
Experience with model interpretability techniques (SHAP, LIME, interpretable boosting machines)
Strong foundation in statistics, causal inference, and experimental design
Proven track record of deploying ML models to production that drive measurable business value
Languages: Python, SQL, R
ML Frameworks: scikit-learn, XGBoost, pandas, numpy
Platforms: Einstein Notebooks, Jupyter, Databricks, AWS/S3
Evaluation Metrics: NDCG, AUC-ROC, precision-recall, custom ranking metrics
Model Types: Gradient boosting, ensemble methods, interpretable ML models
Data Engineering: ETL pipelines, feature engineering, data quality validation
Preferred
Background in Large Language Models (LLMs) and generative AI, including prompt engineering and understanding LLM capabilities versus traditional ML
Experience with Salesforce products (CRM, Marketing Cloud, Tableau) and enterprise data structures
Knowledge of optimization algorithms and operations research techniques
Experience with A/B testing and experimentation frameworks
Publications or presentations in data science/ML communities
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
Chairman & Ceo Salesforce India
Marc Benioff
Chair & CEO
Recent News
2026-01-22
Benzinga.com
2026-01-21
Company data provided by crunchbase