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Entry Level Sap Data Scientist Jobs (NOW HIRING)

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 ...

1 point system

SAP Data Architect

New York, NY · Remote

Primary Skillset • SAP experience • Consulting experience within complex global programs • Life Sciences industry experience Impact & Expectations • Evidence of Data Modeling understanding ...

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Benda Infotech

Junior Data Scientist

Chicago, IL

$70K - $100K/yr

This full-time, on-site position offers a fantastic opportunity for entry-level professionals eager ... As a Junior Data Scientist, you will play a crucial role in analyzing data trends, building ...

New

Global Lending Services

Data Scientist

Greenville, SC · On-site

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

asrcfh

Data Scientist

Oklahoma City, OK

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

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Entry Level Sap Data Scientist information

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$165K

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How much do entry level sap data scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for entry level 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 the salary of a data scientist in SAP?

The salary of an SAP data scientist varies based on experience, location, and certifications but typically ranges from $70,000 to $120,000 annually. Entry-level roles may start lower, while experienced professionals with SAP and data science skills can earn higher salaries.

What types of projects do entry-level SAP Data Scientists typically work on, and how do they contribute to the overall business goals?

Entry-level SAP Data Scientists often work on projects involving data extraction, transformation, and analysis within SAP environments. They typically support senior data scientists by preparing large datasets, building basic models, and generating reports that help stakeholders make informed decisions. Their contributions are crucial in streamlining business processes, identifying patterns, and improving operational efficiency. Collaboration is common with SAP consultants, IT teams, and business analysts to ensure data-driven solutions align with organizational objectives.

What are the key skills and qualifications needed to thrive as an Entry Level SAP Data Scientist, and why are they important?

To thrive as an Entry Level SAP Data Scientist, you need a strong background in statistics, data analysis, and programming (often in Python or R), typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with SAP analytics tools (like SAP HANA, SAP BW, or SAP Analytics Cloud), as well as data visualization platforms and SQL, is commonly expected. Analytical thinking, problem-solving, and effective communication are essential soft skills that help in interpreting data and presenting findings to stakeholders. These skills and qualifications are crucial for extracting actionable insights from data, supporting business decisions, and succeeding in a technology-driven environment.

What is the difference between Entry Level Sap Data Scientist vs Entry Level SAP Analyst?

AspectEntry Level Sap Data ScientistEntry Level SAP Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; basic knowledge of SAP modules; familiarity with data analysis toolsBachelor's in Information Systems, Business, or related field; basic SAP certification; understanding of SAP modules and business processes
Work EnvironmentData analysis, modeling, and visualization tasks within IT or analytics teamsSystem configuration, support, and process analysis within SAP support teams
Employer & Industry UsageTech companies, consulting firms, industries using SAP for data insightsManufacturing, finance, logistics, and other industries utilizing SAP ERP systems

In summary, Entry Level SAP Data Scientists focus on analyzing SAP data and developing models, while Entry Level SAP Analysts support SAP systems and optimize business processes. Both roles require familiarity with SAP but differ in their core responsibilities and skill sets.

Is 40 too late for data science?

Entry level data science roles typically require foundational skills in programming, statistics, and data analysis, which can be acquired at any age. Age is not a barrier; success depends on relevant skills, certifications, and experience, regardless of when you start learning. Many professionals transition into data science later in their careers by gaining necessary knowledge and practical experience.

Can I get a SAP job with no experience?

Entry level SAP data scientist roles typically require some knowledge of SAP systems, data analysis, and programming skills such as SQL or Python. While prior experience is often preferred, candidates with relevant certifications, strong analytical skills, and a willingness to learn can sometimes qualify for entry-level positions or internships in this field.

What does an Entry Level SAP Data Scientist do?

An Entry Level SAP Data Scientist is responsible for analyzing large sets of data within SAP systems to help organizations make data-driven decisions. They use statistical methods, machine learning, and data visualization tools to identify patterns, trends, and insights from business data. Typically, they work closely with business analysts and IT teams to develop and implement data models, automate data processing, and generate reports that support business objectives. This role often involves cleaning and preparing data, as well as learning SAP-specific analytics tools like SAP HANA and SAP Predictive Analytics.

Can I get a data scientist job with no experience?

Entry-level data scientist positions typically require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior work experience is not always necessary, candidates often need relevant coursework, certifications, or personal projects to demonstrate their skills. Building a strong foundation in statistics, machine learning, and data visualization can improve chances of securing an entry-level role without professional experience.
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Entry Level Sap Data Scientist jobs near you
Infographic showing various Entry Level 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.
Data Scientist

Data Scientist

ATI

Cudahy, WI • On-site

Full-time

Posted 15 days ago

Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.
ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI.
As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods, and design and improvement of manufacturing processes.
A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous Improvement mindset.
Additional Responsibilities
  • Map data from multiple sources into new structures.
  • Work with business subject matter experts to determine best solutions
  • Serve as a subject matter expert in the capabilities of Data Science.
  • Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques.
  • Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data.

Basic Qualifications
  • B.S. degree in computer science, engineering with a strong statistical and programming background.
  • Experience in deep learning, predictive modeling, data mining, and time series analysis.
  • Knowledge of image segmentation, generative models, convolutional neural networks.
  • Experience in applied machine learning.

Preferred Qualifications (in addition to Basic Qualifications)
  • Experience in PyTorch, Keras/Tensorflow.
  • Experience in explainable AI.
  • Experience in SQL data query, data cleaning
    • 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 expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science. Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.
*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, gender, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.

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