Data Scientist (limited full-time)
Belgrade, RS, 11070
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SAP
Explore market-leading software and technology from SAP. Become an intelligent, sustainable enterprise with the best in cloud, platform, and sustainability solutions – no matter your industry or size.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:
- Serve as the lead data strategist, identifying new data sources and integrating them into our platform.
- Collaborate with engineering and AI teams to implement machine learning models in production.
- Design and execute analytical experiments to support business and technical decision-making.
- Apply and fine-tune existing ML algorithms to solve real-world business challenges.
- Prepare, clean, and validate large datasets for modeling and analytics.
- Analyze trends, patterns, and insights in data to support AI development.
- Translate complex data analysis into actionable insights and communicate results to stakeholders.
- Work with both structured and unstructured data sources across various domain
What you bring:
- Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or a related field.
- 3+ years of hands-on experience in data science and machine learning.
- Proficiency in Python or Java, SQL, and data visualization tools such as Tableau or Power BI.
- Strong experience in statistical modeling, predictive analytics, and data mining techniques.
- Familiarity with cloud-based environments and deploying ML models into production systems.
- Solid understanding of algorithm design, data cleaning, and feature engineering.
- Ability to work in fast-paced, collaborative teams on multiple concurrent projects
Nice to Have:
- Experience with big data technologies and tools (e.g., Hadoop, Spark).
- Prior work in integrating AI/ML solutions into enterprise software.
- Familiarity with SAP data models or BTP environment.
- Exposure to DevOps practices and MLOps tooling.
- Experience with data versioning, pipeline orchestration, and reproducibility practices.
Meet your team
We are seeking a highly analytical and experienced Data Scientist to drive our AI initiatives by designing and deploying data-driven solutions. You will lead efforts in mining, analyzing, and transforming structured and unstructured data to develop and enhance machine learning models that are integrated into our products. Your work will directly support strategic AI capabilities across our engineering stack
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: 431394 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data analysis Data Mining Data visualization DevOps Engineering Feature engineering Hadoop Java Machine Learning Mathematics ML models MLOps Power BI Python Spark SQL Statistical modeling Statistics Tableau Unstructured data
Perks/benefits: Career development Flex hours
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