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Sap Data Scientist Jobs (NOW HIRING)

Accenture Federal Services

SAP Data Scientist

The Data Scientist role focuses on analyzing complex datasets to drive business decisions, delivering insights across SAP and non-SAP environments, and collaborating with cross-functional teams to ...

ATI

Data Scientist

Cudahy, WI · On-site

Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required. * If you have worked on PINN or used ML for solving materials science problem a big plus. We thrive when the ...

Next Gen Alloys

Data Scientist

Cudahy, WI

Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required. * If you have worked on PINN or used ML for solving materials science problem a big plus. Wethrive when the ...

ATI

Data Scientist

Cudahy, WI · On-site

Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required. * If you have worked on PINN or used ML for solving materials science problem a big plus. Wethrive when the ...

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How much do sap data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for sap data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a SAP Data Scientist?

A SAP Data Scientist leverages data analytics, machine learning, and SAP technologies to extract insights, optimize business processes, and support decision-making. They work with large datasets from SAP systems, design predictive models, and develop data-driven solutions. Their role often involves using SAP tools like SAP HANA, SAP BW, and SAP Data Intelligence to analyze and visualize data.

What are some common challenges SAP Data Scientists face in this role?

SAP Data Scientists often work with large, complex datasets that require deep domain knowledge of both data science methodologies and SAP's suite of business applications. One common challenge is integrating disparate data sources within SAP environments to develop robust predictive models and analytics solutions. Collaboration with IT, business analysts, and functional teams is essential to ensure data quality and to translate business requirements into actionable insights. Successfully navigating these challenges can make your contributions highly visible and impactful within the organization, leading to rewarding career growth opportunities.

What are the key skills and qualifications needed to thrive in the SAP Data Scientist position, and why are they important?

To thrive as a SAP Data Scientist, you need strong expertise in data analysis, statistical modeling, and machine learning, typically backed by a degree in computer science, data science, or a related field. Proficiency with SAP data platforms (such as SAP HANA), programming languages like Python or R, and relevant SAP certifications are highly beneficial. Strong problem-solving abilities, effective communication, and teamwork are valued soft skills in this position. These skills ensure you can extract actionable insights from complex enterprise data and work effectively with cross-functional teams in a dynamic business environment.

Which SAP data scientist jobs are in demand?

SAP data scientist roles are in high demand due to the increasing adoption of SAP systems and the need for advanced analytics and machine learning integration. Skills in SAP HANA, data modeling, and programming languages like Python or R are often required, along with experience in cloud platforms and certifications such as SAP Certified Application Associate. These positions typically involve working in enterprise environments to optimize business processes through data-driven insights.
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Sap Data Scientist jobs near you
Infographic showing various Sap Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

SAP Data Scientist

Washington, DC • On-site

Accenture Federal Services
IT Services • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

50th of 499 rated business services

People enjoy working here

Good employer

Recommended by parents

Learn more about Accenture Federal Servicesexternal

Full-time

Re-posted 23 days ago

Job description

The work

The Data Scientist is responsible for analyzing complex datasets to drive business decisions and deliver actionable insights across SAP and nonSAP environments. This role leverages statistical methods, data modeling, and visualization techniques to solve business challenges and support decisionmaking. The Data Scientist will gather, wrangle, and validate data; develop analytic pipelines; design predictive models; and communicate findings through dashboards, KPIs, and executiveready visualizations. The role collaborates closely with crossfunctional teams to implement datadriven solutions and deliver AI/MLbased frameworks that generate measurable business value.

Key responsibilities:

  • Collect, organize, and wrangle data from SAP and nonSAP sources; build reusable analytics and data pipelines
  • Clean, validate, and preprocess structured and unstructured datasets to ensure highquality inputs for analysis
  • Conduct statistical and exploratory analyses to identify trends, patterns, and business insights
  • Develop predictive and prescriptive models using SAP Analytics Cloud Predictive or external ML frameworks integrated with SAP data
  • Enhance data collection procedures to support analytic system development
  • Create dashboards, KPIs, and data visualizations to clearly communicate findings to business stakeholders
  • Support data reconciliation and KPI validation between source systems and analytics outputs
  • Collaborate with IT, business analysts, and leadership to implement datadriven solutions
  • Design and deliver AI/MLbased decisionmaking frameworks; measure and justify model value

Here's what you need:

  • 5+ years of experience in data science, advanced analytics, or applied data modeling (ideally with SAP data)
  • Proficiency in Python or R, SQL, and data manipulation libraries
  • Experience with SAP Analytics Cloud Predictive, SAP BTP AI Core, or integrating SAP data with external ML platforms
  • Strong understanding of data preparation and feature engineering for large ERP datasets
  • Solid statistical and machinelearning background with the ability to explain models to nontechnical audiences
  • Strong analytical, problemsolving, and communication skills

Nice to have:

  • SAP BW/4HANA experience
  • Familiarity with SAP HANA modeling, BW queries, or SAP BTP services
  • Experience with cloudbased ML platforms (AWS Sagemaker, Azure ML, etc.)
  • Background in data governance, data quality frameworks, or production model deployment

Eligibility requirements:

  • U.S. Citizenship (no duals)
  • Ability to obtain a client Public Trust government clearance

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