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Sap Data Scientist Jobs (NOW HIRING)

Judge Group, Inc.

Data Scientist

San Antonio, TX · On-site

$130K - $150K/yr

Data Scientist Location: San Antonio, TX Full-Time About the Role We are seeking an experienced ... SAP access (Spartan preferred) By providing your phone number, you consent to: (1) receive ...

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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.

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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.
AI/ML Applied Data Scientist - Generative AI

AI/ML Applied Data Scientist - Generative AI

SAP

Newport Beach, CA • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
SAP is a leader in enterprise resource planning software, and they are seeking an experienced AI/ML Applied Data Scientist to join their Foundation Model team in Newport Beach. This role focuses on developing and integrating foundation models and AI agents to enhance SAP's cloud transformation efforts, working closely with various stakeholders and customers to drive innovation in AI.
Responsibilities:
• Model Development: Oversee the development, fine-tuning, and integration of foundation models into SAP solutions to streamline cloud transformation journeys.
• Build agents and agentic workflows: Design multi-step, tool-using agents (single-agent and multi-agent) that solve real SAP business problems, planning, tool calling, memory, reflection, and human-in-the-loop patterns.
• Evaluate rigorously: Build offline and online evaluation harnesses, task success, trajectory quality, tool-call accuracy, groundedness, and regression testing. Turn production failures into eval cases that gate deployment.
• Observe and improve: Instrument agents with tracing, session and span capture, and automated scoring. Close the loop between production signals and development (trace → eval → fix).
• Collaboration: Engage with stakeholders in different teams at SAP as well as early adopter customers and research collaborations.
Qualifications:
Required:
• BS, MS, in Computer Science, ML, Data Science, or a related field.
• 3+ years of experience in data science, with at least 1 year hands-on with LLMs and agents in production or near-production settings.
• Strong Python; solid software engineering fundamentals: testing, version control, modularity, async.
• Deep learning frameworks: PyTorch (primary) and familiarity with fine-tuning and PEFT methods (LoRA, QLoRA).
• LLM application development: prompting, structured outputs, function and tool calling, context management.
• Experience with LangGraph, Langfuse, MLFlow/W&B etc.
Preferred:
• Familiarity with continued pretraining, fine-tuning pipelines (SFT, DPO, RLHF), or inference optimization (vLLM, TensorRT-LLM, quantization).
• Experience running human-in-the-loop annotation workflows
Company:
SAP provides enterprise application software to various industries, including consumer, discrete manufacturing, public services. It is a sub-organization of Delos Cloud. Founded in 1972, the company is headquartered in Walldorf, DEU, with a team of 10001+ employees. The company is currently Late Stage.

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