Job Description

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. 

** This is a hybrid job opportunity requiring you to work three times a week in SAP Newtown Square office. **

What you'll do

• You will work with a team of highly technical and motivated architects and developers, collaborating with teams spread across geographies and time zones.
• You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. 
• Design, develop, deploy and monitor efficient AI/ML modules that drives complex business applications.
• Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support.
• You will work on multiple topics and technologies.
• Conceptualize, design and deliver high quality solutions and insightful analysis.
• Work on gathering data and requirements, participate in solution scoping and architecture, research and prototyping innovative models.
• Build solutions by exploring data, building & validating models and deploying them to deliver maximum business impact.
• Interact with internal and external stakeholders as required.
• Handle multiple projects as an individual contributor and be a multiplier by actively mentoring junior resources within the team.
• Up-to-date with latest and best practices in delivering enterprise grade data science solutions.
• Ability to proactively resolve problems focusing on teamwork, results, and people.
• Identify and translate real world customer problems into feasible technical solutions and implement them independently.

What you bring

• Bachelor's or Master’s degree in a highly quantitative field (Machine Learning, Operational Research, Statistics, Mathematics, etc.).
• Five plus years of industry experience in a data scientist role.
• Solid understanding of the mathematics related to data science - probability, statistics, linear algebra etc.
• Extensive knowledge of various machine learning algorithms and concepts used to build predictive models.
• In-depth knowledge in at least 2 of the following data science domains:
  • Text Analysis and Natural Language Processing
  • Neural Networks and Deep Learning
  • Signal Processing, Image/Video processing and recognition
  • Reinforcement Learning
• Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools.
• Highly proficient in SQL and good knowledge of relational databases.
• Prior experience in deploying machine learning models into production.
• Experience in working with GPUs to develop models.
• Strong written and verbal communication skills.
• Demonstrated ability to independently develop new concepts and stay current with academic research.
• Exposure to SAP modules along with prior experience in cloud technologies on platforms like Azure, AWS, GCP and SAP Business Technology Platform is a plus.

Meet the team

What do you think about being part of an innovative, dynamic, and collaborative development environment, helping world-class enterprises to solve their most complex business challenges, blaze disruptive new trails and bring their company’s vision to life?

At SAP Customer Innovation Services Engineering team, with cloud mindset, embedded in architecture and technology, we will build cloud solutions that meet future needs, whether for integration, data models, intelligent technologies, or platform requirements. It is pivotal that we consider all elements essential for building solutions part of the Intelligent Enterprise landscape.

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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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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: Careers@sap.com.
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.

EOE AA M/F/Vet/Disability

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 combined range for this position is 117300 - 199300(USD) 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 .

Requisition ID: 404555 | Work Area:Software-Design and Development  | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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