Data Scientist

SAP

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profile Job Location:

Palo Alto, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

What Youll Do

Be part of the engineering team located in bay rea (San Ramon/ Palo Alto) and work in a highly motivated Scrum team. You work as a Data Scientist in an agile development team according to the agile Scrum methodology.

  • Prototype agents that can reason plan and take actions across tools and APIs.
  • Develop memory and context strategies for long-running or multi-step tasks.
  • Measure agent performance in terms of task success efficiency and trustworthiness.
  • Design structured prompts templates and orchestration flows (e.g. POML or LangChain).
  • Test robustness against edge cases hallucinations or prompt injections.
  • Automate prompt evaluation and optimization with metrics & A/B testing.
  • Run experiments to measure user outcomes engagement and productivity gains.
  • Define KPIs for GenAI applications (accuracy latency business impact).
  • Use causal inference or reinforcement learning to optimize agent behavior.
  • Partner with engineers on scalable deployment (APIs microservices vector DBs).
  • Work with product managers to align AI capabilities with business workflows.
  • Educate stakeholders on whats feasible safe and valuable with AI.

What You Bring

  • Bachelors degree inComputer Science Engineering or a related field; Masters degree preferred.Masters degree or PhD in Computer Science Applied Mathematics Statistics Engineering or related field
  • 2 years of experience for Data Scientist and in machine learning data science or AI research (industry research lab or advanced academic projects)
  • Strong background in machine learning deep learning data mining and/or optimization
  • Experience in model Evaluation & metrics perplexity BLEU ROUGE accuracy F1 calibration human-in-the-loop evaluation for generative outputs.
  • Experience or strong understanding of fine-tuning methods LoRA prompt-tuning retrieval-augmented generation (RAG).
  • Prompt Engineering structured prompting few-shot chain-of-thought self-consistency
  • Safety & Alignment guardrails ( Guidance Pydantic) monitoring for harmful behaviors.
  • Evaluation of Agents and generative AI apps task success rates latency cost/efficiency tracking.
  • Savvy with AI assisted code assist tools
  • Write production-grade Java/Python code
  • Work in a forward deployed engineering model for innovation projects
  • High quality service and customer-oriented working attitude.

Meet Your Team

SAP SuccessFactors Human Capital Management (HCM) empowers businesses to connect with their employees and inspire purpose-driven performance. Our mission is to help every customer deliver the employee experiences people truly join a seasoned team of cloud-native Java developers and data scientists at SuccessFactors working at the forefront of innovation to build next-generation generative AI-powered applications.

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
SAPs 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:

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: SAPbelieves the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAPs 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 combined range for this position is 103300 - 198600(USD) actual amount to be offered to the successful candidatewill be within that range dependent upon the key aspects of each case which may include education skillsexperience scope ofthe role location etc. as determinedthrough theselection 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.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 435610 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid


We help the world run betterAt SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a pla...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

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