SAP Company Hiring For Data Scientist

SAP Company Hiring For Data Scientist | Freshers are eligible to apply for the job role and organizing an off campus recruitment drive. Below are the Job description, Eligibility, and Other details.

Job Description :-

Company Name:	SAP
Job Role:	Data Scientist
Qualification:	Bachelor’s degree
Experience:	Freshers/Experienced
Batch:	2020/2021/2022/2023/2024
Location:	Bangalore, India
CTC/Salary:	INR 4.5-10 LPA (Expected)

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.

- Push the frontiers of what is possible in artificial intelligence and machine learning to create new solutions.
- Explore, understand, and implement most recent technologies and approaches for data science problems.
- Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
- Strive for state-of-the art, highly accurate and scalable data science models.
- Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance.
- Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation.
- Communicate the relevance of implemented systems and achieved results in a visual and consistent way.
- Work closely with the team, customers, and partners to holistically understand business and user requirements and derive adequate application development concepts.
- Performing quality assurance tasks.
- Solve complex regression issues.
- Ability to work in global teams with different time zones.

Immerse yourself quickly into new topics, terminology, and development tasks.

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.
Experience using libraries such as pandas ,nltk , scikit learn, TensorFlow, PyTorch and knowledge in statistics.
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).
Fluency both written and spoken in English.