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Entry Level Sap Data Scientist Jobs (NOW HIRING)

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

This is an Entry-Level position in the General Professional track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and ...

This is an Entry-Level position in the General Professional track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and ...

This is an Entry-Level position in the General Professional track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and ...

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Entry Level Sap Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Aug 8, 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 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?

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.

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.
More about Entry Level Sap Data Scientist jobs
What cities are hiring for Entry Level Sap Data Scientist jobs? Cities with the most Entry Level 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 Entry Level Sap Data Scientist jobs? States with the most job openings for Entry Level Sap Data Scientist jobs include:
Infographic showing various Entry Level 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.

Junior/Entry Level Data Scientist/Analyst

SynergisticIT

Mobile, AL • On-site

Other

Re-posted 8 days ago


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! You Don't Need Luck — You Need Strategy Many job seekers think getting hired is about luck, timing, or chance. But the truth is, it's about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. You'll work on high‐demand technologies, build real‐world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You don't need luck — you need a plan. Synergisticit gives you the strategy that leads to real results. If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That's why many new grads send hundreds of applications and still hear nothing back. It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications. Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you're tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you. In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume