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SAP Off Campus Freshers Recruitment 2024 Hiring As Data Scientist

2024-08-26

Job Profile: Data Scientist

Degree Required: B.E/ B.Tech/ B.Sc

Experience Required: Freshers/ Experienced

Work Location: Bangalore

Key Responsibilities:

• Assist in collecting, cleaning, and preprocessing data for analysis.
• Develop, train, and optimize machine learning models under the guidance of senior team members.
• Conduct exploratory data analysis (EDA) to identify 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 the evaluation and testing of models to ensure accuracy and reliability.
• Document processes, methodologies, and results for knowledge sharing and future reference.

What you bring

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 with data manipulation and analysis using libraries such as pandas, NumPy, or similar.
• Knowledge of data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Exposure to SQL and experience with database querying is a plus.
• Strong problem-solving skills and an analytical mindset.
• Ability to work in a collaborative team environment.
• Eagerness to learn and adapt to new tools and technologies.

Preferred Skills:

• Exposure to cloud platforms like AWS, Google Cloud, or Azure.
• Understanding of version control systems like Git.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of big data tools such as Hadoop or Spark.

What We Offer:

• Mentorship from experienced data scientists and engineers.
• Opportunities for professional growth and development.
• Access to the latest tools and technologies in the field.
• A dynamic and inclusive work environment.

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