Ai/Machine Learning Data Scientist

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Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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. Apply now!

Data Scientist - AI/ML at SAP Fieldglass

As a Data Scientist at SAP Fieldglass, you will have the opportunity to work across various areas such as customer projects, development, or research. In customer projects, you will play a significant role in executing mathematical modeling, developing algorithms, and data mining workflows to solve business problems, collaborating closely with other industry and technology experts. In development, you will be responsible for creating prototypes, collaborating with engineering and product management teams, and ensuring high quality and performance. When working on research projects, you will lead or contribute to the latest research in AI/ML and its application to strengthen SAP's offerings. Candidates should be local to Chicago or Naperville IL.

Responsibilities:

• Evaluate and validate the performance of production models, ensuring their continued alignment with stakeholders' requirements and expectations
• Oversee data science development throughout the project lifecycle, from ideation to production deployment
• Collaborate with cross-functional teams, including product management, UI/UX, and software development, to identify, define, and prioritize data-driven initiatives in the contingent labor domain
• Communicate effectively with stakeholders to understand their needs and translate them into well-defined data science projects
• Develop and implement Natural Language Processing (NLP) and machine learning algorithms for text classification, text generation, regression, and forecasting projects
• Present technical findings and recommendations to both technical and non-technical audiences, promoting data science success across the organization

Qualifications:

• Familiarity with MLOps principles, tools, and techniques is a plus
• Proven track record of successfully implementing Machine Learning (ML) models and statistical approaches to solve real-world problems
• Strong analytical, problem-solving, and communication skills
• 3+ years of experience in data science with a focus on Natural Language Processing (NLP)
• Hands-on experience with Azure, particularly in deploying and managing Machine Learning solutions
• Proficiency in Python

We build breakthroughs together

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.

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: [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.

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 81,700-174,800 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: 370212 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid