Job Description
SAP
IT Technology Services Associate - Data Scientist
Full -Time
Bangalore, India
SAP is a forward-thinking technology company committed to harnessing the power of data to drive innovation and deliver cutting-edge solutions. We are looking for a motivated and enthusiastic individual to join our data science team as an entry-level Data Scientist/Machine Learning Engineer.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.
any degree
Fresher/Experienced
1. Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
2. Familiarity with programming languages such as Python or R.
3. Basic understanding of machine learning algorithms and concepts.
4. Experience with data manipulation and analysis using libraries such as pandas, NumPy, or similar.
5. Knowledge of data visualization tools such as Matplotlib, Seaborn, or Tableau.
6. Exposure to SQL and experience with database querying is a plus.
7. Strong problem-solving skills and an analytical mindset.
8. Ability to work in a collaborative team environment.
9. Eagerness to learn and adapt to new tools and technologies.
1. Assist in collecting, cleaning, and preprocessing data for analysis.
2. Develop, train, and optimize machine learning models under the guidance of senior team members.
3. Conduct exploratory data analysis (EDA) to identify trends and patterns in data.
4. Collaborate with cross-functional teams to understand business objectives and translate them into data-driven solutions.
5. Implement and maintain data pipelines to support machine learning model deployment.
6. Assist in the evaluation and testing of models to ensure accuracy and reliability.
7. Document processes, methodologies, and results for knowledge sharing and future reference.
Benefits :-
Mentorship from experienced data scientists and engineers.
Opportunities for professional growth and development.
Access to the latest tools and technologies in the field.
