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Sap Data Scientist Jobs (NOW HIRING)

Refresco

SAP Data and AI Architect

Tampa, FL · On-site

Bachelor's degree in computer science, Information Systems, Data Science, Engineering, or related ... SAP Platform: Hands-on expertise with SAP BDC, Datasphere, BTP (AI Core, Integration Suite ...

PepsiCo

SAP Data Services Senior Analyst

Plano, TX · On-site

$80K - $134K/yr

Bachelor's degree in computer science or relevant disciplines with an IT emphasis is required * 4+ years of hands-on experience with SAP Data Services (BODS) interfacing with SAP and non-SAP systems.

PepsiCo

SAP Data Services Senior Analyst

Plano, TX · On-site

$80K - $134K/yr

Bachelor's degree in computer science or relevant disciplines with an IT emphasis is required * 4+ years of hands-on experience with SAP Data Services (BODS) interfacing with SAP and non-SAP systems.

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How much do sap data scientist jobs pay per year?

As of Jul 17, 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 SAP data science?

SAP data science involves applying data analysis, machine learning, and statistical techniques to SAP systems and data to derive insights and support decision-making. SAP data scientists often use tools like SAP HANA, SAP Analytics Cloud, and programming languages such as Python or R to analyze large enterprise datasets. Strong knowledge of SAP environments and data management is essential for this role.

Are SAP consultants still in demand?

SAP Data Scientists and consultants are still in demand due to ongoing digital transformation initiatives and the need for data-driven decision-making in organizations. Skills in SAP HANA, data analysis, and related tools increase employability, especially in industries like manufacturing, finance, and logistics.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success depends on skills, experience, and continuous learning of tools like Python, R, and SQL, as well as staying current with industry trends. Many professionals transition into data science later in their careers and find opportunities based on their expertise and adaptability.

What is the salary of a Data Scientist in SAP?

The salary of a Data Scientist working with SAP technologies typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized SAP skills may earn higher salaries, often exceeding $150,000.

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 job?

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.

More about Sap Data Scientist jobs
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:
What states have the most Sap Data Scientist jobs? States with the most job openings for Sap Data Scientist jobs include:
What job categories do people searching Sap Data Scientist jobs look for? The top searched job categories for Sap Data Scientist jobs are:
Sap Data Scientist jobs near you
Infographic showing various Sap Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
SAP Data Engineer, Expert

SAP Data Engineer, Expert

Pacific Gas and Electric Company

Oakland, CA • Hybrid

Other

Posted 14 days ago

Pacific Gas and Electric Company rating

9.0

Company rating: 9.0 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

4th of 52 rated energy and utility

Job description

Requisition ID # 171827 

Job Category: Information Technology 

Job Level: Individual Contributor

Business Unit: Information Technology

Work Type: Hybrid

Job Location: Oakland

Department Overview

Information Systems Technology Services is a unified organization comprised of various departments which collaborate effectively in order to deliver high quality technology solutions.

Position Summary

We are seeking an experienced SAP Data Governance Expert responsible for designing, implementing, and governing enterprise data management frameworks within the SAP ecosystem. The ideal candidate will have strong expertise in SAP master data governance, data quality, data lifecycle management, and data integration, with hands-on experience in SAP Master Data Governance (MDG) and SAP BusinessObjects Data Services (BODS).

This role will collaborate with business stakeholders, data owners, IT teams, and enterprise architects to ensure high-quality, consistent, and governed data across SAP landscapes including SAP S/4HANA, ECC, and related enterprise systems.

The SAP Data Governance Expert will play a key role in defining governance policies, establishing data standards, improving data quality, and enabling trusted data for analytics and operational excellence.


PG&E is providing the full salary/pay range for this position.  The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location.  The range to reasonably expect will be around the minimum and the midpoint $140,000 - $189,000.  The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E's discretionary incentive compensation programs. 

Bay Area Min: $ 140,000

Bay Area Max: $ 238,000


This position is hybrid, working from your remote office at our Oakland Headquarters based on business need. The assigned work location will be within the PG&E Service Territory.

Job Responsibilities

  • Define and implement enterprise data governance frameworks aligned with organizational data strategy
  • Establish data policies, standards, and procedures for SAP master and transactional data
  • Define data ownership and stewardship models across business domains
  • Ensure compliance with regulatory, security, and privacy standards
  • Design, implement, and manage SAP MDG solutions for domains
  • Configure MDG data models, workflows, validations, and governance processes
  • Implement data approval workflows and governance lifecycle
  • Design custom governance rules and business validations
  • Define and implement data quality frameworks within SAP landscape
  • Establish data quality monitoring and remediation processes
  • Define and track data quality KPIs and metrics
  • Design and implement ETL pipelines using BODS for data migration, cleansing, transformation, and integration
  • Build data quality jobs and profiling routines
  • Develop data reconciliation and data validation frameworks
  • Support large-scale data migration projects (ECC S/4HANA)
  • Collaborate with enterprise architects and SAP functional teams to ensure consistent data models
  • Define data lifecycle management policies
  • Establish data change governance processes
  • Manage data stewardship workflows
  • Implement audit and compliance controls for master data
  • Define data synchronization and replication strategies
  • Define migration strategy and data cleansing approach
  • Work closely with Business data owners, data stewards, SAP functional consultants, and IT architecture teams
  • Conduct data governance workshops and trainings

Qualifications

Minimum:

  • Bachelors Degree in Computer Science or equivalent experience
  • 7 years experience in SAP data management or governance


Desired:

  • Hands on experience with SAP S/4HANA
  • Hands on experience with SAP ECC
  • 3+ years working with SAP MDG
  • 3+ years working with BODS
  • Experience in large enterprise SAP programs
  • Experience with SAP S/4HANA data migration programs
  • Experience with enterprise data governance programs
  • Exposure to cloud data architectures
  • Knowledge of data catalog and metadata tools
  • Strong stakeholder communication
  • Strategic thinking
  • Data governance leadership
  • Problem solving
  • Process design

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