Forward Deployed Principal Data Scientist (New York, NY, US, 10001)

SAP
New York
Workplace: HybridFull timeUSD 176,300 - 374,200 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Communication","Collaboration","Stakeholder management","Problem-solving","Analytical thinking"]

Design, develop, and deploy advanced data science and machine learning solutions embedded within customer environments and fast-moving delivery teams. Translate complex business and operational challenges into rigorous analytical intelligence, covering experimentation, forecasting, segmentation, anomaly detection, and causal analysis. Integrate models into enterprise-grade products and processes, define success metrics, communicate insights to stakeholders, and lead complex analytical workstreams as needed.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed Principal Data Scientist (New York, NY, US, 10001)

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Last checked: 2 hours agoStatus: Live

Job Summary

Design, develop, and deploy advanced data science and machine learning solutions embedded within customer environments and fast-moving delivery teams. Translate complex business and operational challenges into rigorous analytical intelligence, covering experimentation, forecasting, segmentation, anomaly detection, and causal analysis. Integrate models into enterprise-grade products and processes, define success metrics, communicate insights to stakeholders, and lead complex analytical workstreams as needed.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Transform business challenges into data-driven intelligence by identifying high-value problems, framing them analytically, and engineering robust features and insights.
  • •Design, develop, train, and implement ML models, algorithms, and analytical solutions to solve complex business problems.
  • •Apply statistical modeling and ML techniques across exploratory analysis, experimentation, forecasting, segmentation, anomaly detection, and causal analysis.
  • •Integrate analytical and ML solutions into products, prototypes, or business processes with enterprise-grade scalability and robustness.
  • •Lead or manage complex analytical workstreams, define success metrics, and communicate recommendations to cross-functional customer stakeholders.
Travel: Extensive travel

Pay and Benefits

Salary: USD 176,300 - 374,200 annually

Key Requirements

  • •8+ years of expert proficiency in data science and machine learning, designing end-to-end analytical and ML solutions using Python and SQL.
  • •Hands-on experience with ML frameworks including TensorFlow, PyTorch, scikit-learn, and XGBoost.
  • •Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, and causal inference.
  • •Experience applying ML techniques such as classification, forecasting, clustering, recommendation systems, and anomaly detection at scale.
  • •Ability to translate ambiguous business questions into measurable analytical problems and deliver production-ready analytics/ML with strong data quality and governance.
Experience:8+ years
Skills:CommunicationCollaborationStakeholder managementProblem-solvingAnalytical thinking
Tech Stack:PythonSQLTensorFlowPyTorchScikit-learnXGBoostSAP S/4HANASAP BW/4HANASAP HANA CloudSAP Business Technology Platform (BTP)AI CoreAI LaunchpadSAP AI servicesData governanceAnomaly detectionCausal inference

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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