SAP Fresher Hiring 2024 | Data Scientist | Bangalore

SAP has invited applications for the recruitment of Data Scientist post. It is an entry level position and freshers can apply.

Interested candidates meeting the eligibility criteria can apply online at the earliest.

Candidates can find the links for the job notification, applying online, eligibility criteria and other details here.

SAP Fresher Hiring 2024 Details:

Experience: Freshers

Post Name: IT Technology Services Associate – Data Scientist

Qualification: Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field

Batch: Recent Batches

Salary: Rs. 8 – 12 LPA (expected)

Last Date to apply: As soon as possible

Job Locations: Bangalore

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Position Summary:

As an entry-level Data Scientist/ Machine Learning Engineer, you will work closely with our experienced team to develop and implement data-driven solutions. You will have the opportunity to work on real-world projects, learn from industry experts, and contribute to the growth of our data science capabilities.

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.

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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.

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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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How to Apply?

Interested candidates meeting the eligibility criteria have to apply at the following link: