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Full Time 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

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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Full Time Sap Data Scientist information

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How much do full time sap data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for full time sap data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Sap Data Scientist vs Full Time Sap Data Analyst?

AspectFull Time Sap Data ScientistFull Time Sap Data Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related fields; certifications in SAP and data analysis tools are commonUsually requires a degree in business, finance, or related fields; SAP certifications and data analysis skills are often needed
Work EnvironmentWorks in cross-functional teams, developing predictive models and advanced analytics within SAP environmentsFocuses on reporting, data interpretation, and supporting business decisions using SAP data
Employer & Industry UsageUsed in industries like manufacturing, finance, and logistics for predictive analytics and data modelingCommon in retail, finance, and supply chain sectors for reporting and data management

The main difference between a Full Time Sap Data Scientist and a Full Time Sap Data Analyst lies in their focus and skill set. Data Scientists develop advanced models and predictive analytics, requiring more technical expertise, while Data Analysts concentrate on reporting and data interpretation to support business decisions.

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SAP Data Scientist

Accenture Federal Services

Washington, DC

Full-time

Re-posted 24 days ago

Accenture Federal Services rating

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

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

What Accenture Federal Services employees say

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Benefits

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