About SAP:
SAP India, a rapidly growing subsidiary of SAP SE, is the world’s leading provider of business software solutions. Established in 1996, SAP India is headquartered in Bangalore with offices in multiple major cities, including Mumbai, New Delhi, and Kolkata. SAP India has a direct presence in nine cities across the country and collaborates with marketing associates in Sri Lanka and Bangladesh. Recognized as the 'Hub of the Year in Asia Pacific and Japan' in 2007, SAP India has achieved remarkable growth, doubling its license revenue and customer base.
Position: Data Scientist
Location: Bangalore, India
Eligible Passout Year: 2023/2024
Qualification: B.E/B.Tech
Salary: Best In Market
Position Summary:
As an entry-level Data Scientist/Machine Learning Engineer at SAP, you will collaborate with an experienced team to create and implement data-driven solutions. This role offers you the chance to work on real-world projects, gain insights from industry professionals, and contribute to the enhancement of our data science capabilities.
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Familiarity with programming languages such as Python or R.
- Basic understanding of machine learning algorithms and concepts.
- Experience in data manipulation and analysis using libraries like pandas and NumPy.
- Knowledge of data visualization tools such as Matplotlib, Seaborn, or Tableau.
- Exposure to SQL and experience with database querying is advantageous.
- Strong problem-solving skills and an analytical mindset.
- Ability to work effectively in a collaborative team environment.
- Eagerness to learn and adapt to new tools and technologies.
Preferred Skills:
- Experience with cloud platforms like AWS, Google Cloud, or Azure.
- Understanding of version control systems such as Git.
- Proficiency in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of big data tools such as Hadoop or Spark.
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing data for analysis.
- Develop, train, and optimize machine learning models under senior team members' guidance.
- Conduct exploratory data analysis (EDA) to uncover trends and patterns in data.
- Collaborate with cross-functional teams to understand business objectives and translate them into data-driven solutions.
- Implement and maintain data pipelines to support machine learning model deployment.
- Assist in evaluating and testing models to ensure accuracy and reliability.
- Document processes, methodologies, and results for future reference and knowledge sharing.
What We Offer:
- Mentorship from seasoned data scientists and engineers.
- Opportunities for professional growth and development.
- Access to cutting-edge tools and technologies in the field.
- A dynamic and inclusive work environment.
