Data Scientist

Bangalore, IN, 560066

SAP

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 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.

What you’ll do

 

The data and analytics expert works on strictly Scrum-driven projects with the product owner and business owner to understand the business goals and values and translates them into data products and technical software with a focus on integration into our central data architecture.

 

  • Act as an expert towards business and IT
  • Act as product owner for our material master data applications in the license area.
  • Collaborate with cross-functional teams to understand data needs and provide insights.
  • Extend the existing data quality framework e.g. by defining and implementing additional data quality rules in Information Steward or similar tool.

 

What you bring

  • Excellent problem-solving and analytical skills.
  • Experience of working in a dynamic, cross-functional environment
  • Contribute to new scenarios, investigating, prototyping, and operationalizing.
  • Good understanding of the as-is data and enterprise architecture.
  • Proficiency in programming languages such as Python, R, or SQL. Experience with data architecture frameworks and tools (e.g., data warehouses, ETL tools, cloud platforms like AWS, Azure, or Google Cloud).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) and data science libraries (e.g., Scikit-learn, TensorFlow).
  • Fluency both written and spoken in English.

 

Tech you'll learn

SAP BTP SAP CAP SAP Business AI

 

Meet your team

 

About Partner Engineering Team The Partner Engineering team delivers and runs the tools and technology to make our internal SAP Partner Organization and the SAP Partners successful. We understand our internal and external End User needs by engaging directly with them and focusing on the right outcome.

 

#SAPInternalT4

 

​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.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 403038  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Architecture AWS Azure Data quality Data visualization Engineering ETL GCP Google Cloud Power BI Prototyping Python R Scikit-learn Scrum SQL Tableau TensorFlow

Perks/benefits: Career development Flex hours

Region: Asia/Pacific
Country: India

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