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Sap Data Scientist Jobs (NOW HIRING)

Monster Energy

Junior SAP Data Analyst

Corona, CA · On-site

Bachelor's degree in Information Systems, Computer Science, Business Analytics, or a related field ... Familiarity with SAP BDC processes and data loading techniques * Proficiency in data analysis and ...

New

LMI

SAP Data Analyst - Clearance Required

Arlington, VA · On-site

Bachelor's degree in Information Systems, Computer Science, Business, Data Analytics, Logistics ... Experience supporting SAP-enabled business processes, enterprise data analysis, system support, or ...

LMI

Bachelor's degree in Information Systems, Computer Science, Business, Data Analytics, Logistics ... Experience supporting SAP-enabled business processes, enterprise data analysis, system support, or ...

LMI

SAP Data Analyst - Clearance Required

Bachelor's degree in Information Systems, Computer Science, Business, Data Analytics, Logistics ... Experience supporting SAP-enabled business processes, enterprise data analysis, system support, or ...

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How much do sap data scientist jobs pay per year?

As of Aug 8, 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 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 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 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.

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What cities are hiring for Sap Data Scientist jobs? Cities with the most Sap Data Scientist job openings:
What are the most commonly searched types of Sap Data Scientist jobs? The most popular types of Sap Data Scientist jobs are:
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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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Solutions Architect SAP Data Migration

Coastal International Security, Inc

Los Alamos, NM • On-site

$98 - $103/hr

Contractor

Posted 16 days ago

Job description

Solutions Architect 4 - SAP Data Migration (DOE/LANL)
Location: Remote, supporting LANL's SAP S/4HANA modernization initiative
Citizenship: U.S. Citizenship Required
Compensation: $98 - $103/hr
Why This Role
LANL is undertaking a greenfield SAP S/4HANA modernization effort and needs a senior, client-side data migration authority who can stand shoulder to shoulder with the System Integrator's data lead as a technical peer. This is not a general data architecture role. It requires someone who has led enterprise SAP data migrations from the inside of a major System Integrator and has since moved into client-side advisory work, someone who knows when to challenge an SI's approach, when to accept their judgment, and when to hold position. You will own the day to day execution of the client's data workstream while also serving as an independent, senior voice on migration architecture, data quality, and go live readiness.
Key Responsibilities
Advisory & Oversight
  • Serve as the client side senior authority on SAP data migration, facing off to the System Integrator's data lead as a technical peer
  • Review and challenge the SI's data migration approach where it carries unnecessary risk, cost, or downstream operational burden
  • Advise on migration architecture for greenfield S/4HANA from non-SAP sources, including legacy concept to SAP concept mapping and tooling trade offs

Hands-on Coordination & Delivery
  • Own day to day execution coordination of the client side data workstream across all domains
  • Serve as the daily point of contact with the SI's data migration team, tracking deliverables and escalating delays
  • Run working sessions with client data owners and the integrator's team, driving open actions and decisions to closure

Data Quality & Reconciliation
  • Set and monitor cleansing standards across data domains, validating that the SI's quality criteria are fit for go live
  • Organize and track mock load cycles and review reconciliation results independently of the SI
  • Surface data quality risks the SI may not flag, including missing legacy concepts and silent data loss in transformation

Governance & Cutover
  • Ensure data migration activities comply with data classification policy and applicable regulatory requirements
  • Maintain the data migration cutover plan and prepare data readiness inputs for go or no go decisions
  • Support hypercare on data related issues post go live, and provide migration status reporting to program leadership

Required Qualifications
  • 15+ years leading enterprise SAP data migration workstreams, with at least 4 full lifecycle S/4HANA programs delivered end to end, greenfield preferred
  • Experience running the data workstream from inside a major System Integrator, followed by client side advisory work
  • Deep hands on experience migrating from non-SAP sources (Oracle EBS, JD Edwards, PeopleSoft, custom systems) into SAP
  • Full scope enterprise migration experience spanning Finance, Supply Chain, HR/HCM, Plant Maintenance / EAM, and Master Data
  • Deep understanding of S/4HANA data models, business partner concept, universal journal, and material ledger
  • Strong grounding in data migration methodology, including ETL design, reconciliation, cutover sequencing, and hypercare support
  • Hands on exposure to at least one regulated compliance framework (HIPAA, SOC 2, PCI-DSS, GDPR, or FedRAMP), with demonstrated ability to translate requirements into migration controls
  • Excellent communication, able to move fluidly from executive readouts to deep technical review with the SI's engineers

Nice to Have
  • Prior experience with Oracle EBS as the source system
  • Familiarity with SAP Business Data Cloud (BDC), Databricks, or Snowflake as staging/reconciliation environments
  • SAP certifications (S/4HANA, Data Migration, or comparable)
  • Experience in audit heavy sectors such as financial services, healthcare, life sciences, pharma, or government

Mandatory Requirements - Read Before Applying
  • S. Citizenship required
  • 15+ years leading enterprise SAP data migration workstreams required, with at least 4 full lifecycle S/4HANA programs delivered end to end
  • Must have worked the data migration workstream from inside a major System Integrator, followed by client side advisory work, candidates without this specific career path will not be considered
  • Must have direct, hands on experience migrating from non-SAP sources (Oracle EBS, JD Edwards, PeopleSoft, or custom systems) into SAP
  • Must have hands on exposure to at least one regulated compliance framework (HIPAA, SOC 2, PCI-DSS, GDPR, or FedRAMP) applied to data migration controls

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