Data Scientist: SNT (2024 Grads)

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. 

 

SAP brings out your best – what will you discover? 

 

The SAP Next Talent (SNT) Technical Early Talent Rotation Program will launch your career by diving into the vast, innovative world of SAP. SNT brings out your best by working on different technologies, developing new skills and connections, and making an impact by contributing to SAP’s goal of being the #1 Enterprise application and Business AI company. 

 

Here’s how:   

• Join a cohort of other curious, passionate, and motivated individuals  

• Rotate every 6 months across a vast-array of teams to experience different technology stacks, products, and industries while refining your knowledge and understanding of the business  

• Receive impactful projects, tailored learning, robust mentorship, and networking opportunities   

 

With this program, you will be better equipped to find teams within SAP that best align with your passions and career goals. As an SNTer, you will be eligible to permanently join a dedicated team after or during any of the three 6-month rotations. 

 

Get ready to grow exponentially by building a broad range of skills while discovering your strengths, making you a versatile and influential professional in the B2B (Business to Business) tech space! 

 
Three reasons to join SAP Next Talent (SNT) 

1. Diverse Learning Opportunities: Through the three rotations, you'll have the chance to work in various teams and experience different technology stacks, products, and industries. This diversity of experiences will help you broaden your skill set and understanding of the business world, setting you up for a well-rounded and versatile career in the software industry. 

1. Supportive Environment: You’ll join a cohort of fellow early talent who share your passion and motivation. Your cohort will go through upskilling workshops together and meet up at other office engagements. SNT’s supportive community will provide you with a network of peers, mentors and over 100 SNT Alums, who can guide you through your professional journey. Additionally, you'll receive tailored learning opportunities and robust mentorship to help you reach your full potential. 

1. Real Impact in AI: SAP is a global leader in enterprise software touching 87% of global commerce, which uniquely positions the company to lead in AI. As a participant in SNT, you'll be contributing to SAP's mission of becoming the #1 Enterprise application and Business AI company. You'll work on impactful projects that make a difference, giving you a sense of purpose and the opportunity to see your work influence the business world positively. 

 

 

Who you are: 

 

We are looking for early talent who have solid technical fundamentals, are knowledgeable about GenAI, who are fueled by curiosity and thrive on self-improvement, show the ability to learn quickly, are team players, and want to work for a B2B (Business to Business) software company. You enjoy working on meaningful projects and are energized by being part of a community. Our required qualifications for this recruitment cycle include:  

• A graduation date in 2024  

• Education or relevant practical experience in Data Science (Bachelors, Masters, Community College, or Bootcamps)  

• Currently studying or residing in the United States - SAP Next Talent currently does not support U.S. work authorization sponsorship (now or in the future)  

• Ability to work out of Palo Alto and/or San Ramon, CA offices at least 3 days/week (relocation stipend available) 

• Fluent in English: written and verbal communication skills 

 

Tech Skills - Data Science: 

• Knowledge in Python, R, SQL and data science methodologies 

• Hands-on experience with data structures, comp