Senior Data Scientist

SAP
United States
Workplace: HybridFull timeUSD 144,685 - 195,976 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication"]

Support product and customer analytics by building advanced tools, dashboards, and reports that translate business and functional needs into actionable datasets for product, engineering, and cross-functional stakeholders. Define KPIs to improve development, quality assurance, release, and customer support processes, and measure product success through monitoring and forecasting. Apply statistical models, machine learning, and large language models to analyze large-scale structured and unstructured data.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
SAP
SAP
2 weeks ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Support product and customer analytics by building advanced tools, dashboards, and reports that translate business and functional needs into actionable datasets for product, engineering, and cross-functional stakeholders. Define KPIs to improve development, quality assurance, release, and customer support processes, and measure product success through monitoring and forecasting. Apply statistical models, machine learning, and large language models to analyze large-scale structured and unstructured data.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Support product and customer analytics initiatives by delivering data-backed insights to product leaders and cross-functional stakeholders.
  • •Develop advanced analytics tools, dashboards, and reports, and provide operational support by translating requirements into well-documented datasets and actionable dashboards.
  • •Define and track KPIs to enhance development, quality assurance, release, and customer support processes through timely insights.
  • •Identify and measure product success using goal setting, forecasting, and ongoing monitoring of key metrics.
  • •Collaborate across product, engineering, marketing, sales, and finance to drive data-informed decisions and communicate insights effectively across different personas.

Pay and Benefits

Salary: USD 144,685 - 195,976 annually

Key Requirements

  • •Bachelor’s degree (or foreign equivalent) in Computer Science, Data Science, Finance, Mathematics, or related field with 6 years of progressive post-baccalaureate experience (or a Master’s with 4 years).
  • •Experience applying statistical models and machine learning, including large language models (LLMs), to process structured and unstructured data.
  • •Experience designing and managing ETL/ELT pipelines using REST architecture with Apache Airflow.
  • •Experience ingesting, transforming, and storing structured and semi-structured data into data warehouses including MySQL and ADLS Gen2.
  • •Experience building BI and data visualizations using Power BI and SAP Analytics Cloud, and working with SAP Business Warehouse and SAP Datasphere.
Education:Bachelor's in Computer Science, Data Science, Finance, Mathematics, or a related field of study
Skills:Communication
Tech Stack:Microsoft ExcelMicrosoft PowerPointApache AirflowRESTMySQLADLS Gen2DatabricksPySparkSQLPythonPower BISAP Analytics CloudSAP Business WarehouseSAP DatasphereCloud for SemanticsWindowsLinuxLLMsMachine learningETL

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
WebsiteLinkedInGlassdoor