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Principal Data and Applied Scientist, SCM Autonomous Suite, Bellevue
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$193k–$420k/yr
Full-time
bachelor degree, postgraduate degree
Health insurance, Wellbeing support, Professional development, Flexible working models
Posted 9d ago
~40 hrs/week
Responsibilities
You will design and maintain enterprise ontologies and semantic models to ground AI agents in real-world business data. Additionally, you will build and scale AI capabilities including RAG pipelines and knowledge graphs to support reliable, production-grade AI workflows.
Requirements
Candidates must have 8+ years of experience in knowledge engineering, applied AI, or data science, along with a Master's or PhD in a quantitative field. Proficiency in Python, SQL, and modern GenAI systems is required, as well as experience with cloud platforms and semantic modeling.
Full job description
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
The context engine that makes AI enterprise ready.
Anyone can build an AI agent. What makes SAP's agents different is accuracy grounded in the richest enterprise data and process context in the world. As a Data and Applied Scientist at SAP, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants.
What you'll build
The semantic and contextual foundation of SAP's AI. While generic AI agents operate on surface-level patterns, SAP agents are accurate because they understand the real semantics of enterprise business master data, process flows, and domain relationships. You'll build and scale the layer that makes that possible.
Design and maintain enterprise ontologies and semantic models that give AI agents accurate, grounded understanding of SAP and connected business landscapes harmonizing data from SAP, Salesforce, Workday, ServiceNow, MES/IoT systems, and external providers into unified semantic layers.
Build AI capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding that make SAP's agents accurate and reliable in production.
Develop AI capabilities including generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets.
Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality.
Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows.
Partner across product, engineering, business, and customer-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement.
Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets.
What you'll bring
Required Qualifications
8+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments.
Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field
Hands-on experience designing enterprise ontologies and semantic models; proficiency in at least one graph query language (SPARQL, Cypher, or GQL); understanding of trade-offs between RDF triple stores and property graph databases.
Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.
Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement.
Experience with big data infrastructure and cloud environments Databricks or equivalent, plus at least one major cloud (AWS, Azure, or GCP).
Excellent communication and stakeholder management skills, with the ability to work cross-functionally in agile environments.
Preferred Qualifications
Deep working knowledge of SAP data models, metadata structures, and core business processes end-to-end. (SAP knowledge is a strong accelerator)
Hands-on experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator Hub.
Deep expertise across the W3C stack (OWL, RDF/RDFS, SKOS, SHACL) and/or property graph query languages (Cypher, GQL).
Demonstrated experience with data, semantics, and business processes of one or more major supply-chain domains (e.g.: demand, supply and inventory planning; product and bill-of-materials data; manufacturing and capacity; logistics and fulfillment; or asset and service operations) and connect entities, events, KPIs, constraints, and decisions across data domains.
Deep expertise in one or more data science fields, including time-series analysis and forecasting, anomaly detection, causal inference, operations research, mathematical optimization, probabilistic modeling, or simulation and scenario search. Track record of productionizing models and measuring calibration, decision quality, and business outcomes.
Deep expertise in machine learning and deep learning, with experience developing, evaluating, and improving models on real-world datasets.
Experience with agentic AI, reasoning frameworks, planning, orchestration, tool use, or multi-agent architectures.
Experience contributing to reusable AI platforms, foundation model initiatives, or shared AI services adopted across multiple product areas.
Ability to design upper-level and mid-level ontologies aligned with industry standards and apply semantic interoperability frameworks across complex application landscapes.
#dlhiring
Where you belong
Data Labs is building the data, semantic, and decision-intelligence foundation for SAP’s next generation of autonomous supply-chain capabilities. You'll work with large-scale planning and execution data and transform it into governed decision context, enabling AI agents to understand disruptions, trace their impact across applications, evaluate feasible responses, and act within enterprise guardrails. Products span supply-chain ontology packs, reusable semantic data products, forecasting and optimization models, typed agent interfaces, and rigorous evaluation suites. SAP Data Scientists work alongside domain experts, data engineers, ML engineers, and application teams across planning, manufacturing, logistics, product design, and asset operations. This is an opportunity to shape foundational technology used across SAP IBP, Joule, and Autonomous SCM agents — and to see that work translate directly into faster, higher-quality supply-chain decisions for customers.
Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [email protected].
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is $193,400-$420,200 (USD). The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 459664 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
SAP is a global leader in enterprise applications and business AI. We help organizations run mission-critical operations across finance, procurement, supply chain, human resources, and customer experience -and move from systems that record work to systems that can help execute it.
The Autonomous Enterprise brings together enterprise applications, trusted business data, and AI assistants and agents that can reason, recommend, and act within business processes -with governance, accuracy, and compliance built in.
• Joule: the new engagement layer, bringing together data, workflows, and agents across SAP systems and beyond.
• SAP Autonomous Suite: based on AI assistants and agents executing work across all domains.
• Industry AI applications with built-in vertical processes, knowledge, data models, and regulatory logic.
• SAP Business AI platform as the foundation that combines context, unified business data, and purpose-built models with enterprise governance.
• Cloud Transformation: RISE with SAP and SAP GROW help organizations modernize their ERP landscape, move to the cloud, and adopt AI based on their business needs and starting point. Include SAP S/4HANA Cloud, acceleration services, and tools.
Our Partners amplify SAP's value through solution innovations, deep product expertise, world-class services, and more.
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How much do Data & Analytics jobs in Bellevue, WA pay?
Based on 427 listings with disclosed salaries, most data & analytics jobs in Bellevue, WA pay between $103k–$239k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Bellevue, WA right now?
There are currently 460 open data & analytics positions in Bellevue, WA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Bellevue, WA?
Companies currently hiring include Amazon, Snowflake, T-Mobile, PACCAR India, Meta, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Bellevue, WA?
Yes — 133 of the 460 open data & analytics positions offer remote or hybrid work (17 remote, 116 hybrid).
How do I apply for Data & Analytics jobs in Bellevue, WA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.