Data Scientist

About Client:

Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters.

• Job Title : Data Scientist

• Key Skills : Data Science,Python,Amazon Sage Maker
• Job Locations : Pan India
• Experience : 10 Years to 18 Years.
• Education Qualification : Any Graduation.
• Work Mode : Hybrid.
• Employment Type :

  Contract.

• Notice Period :

  Immediate

About the Role:

Data Scientist

Key Responsibilities:

• Analyze large volumes of structured and unstructured data to identify trends, patterns, and insights.
• Build and deploy predictive models and machine learning algorithms.
• Design and implement A/B tests and other statistical analyses to validate hypotheses.
• Collaborate with product, engineering, and business teams to define data needs and deliver impactful solutions.
• Communicate results and insights clearly through dashboards, reports, and presentations.
• Ensure data quality and integrity through data cleaning and preprocessing techniques.
• Stay current with advancements in data science, machine learning, and big data technologies.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Proficiency in

  Python

  or

  R

  , with experience in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Strong SQL skills and experience working with relational databases.
• Experience with data visualization tools such as

  Tableau

  ,

  Power BI

  , or

  Matplotlib/Seaborn

  .
• Solid understanding of statistical techniques and machine learning algorithms.
• Experience working with large datasets and cloud platforms (e.g., AWS, GCP, or Azure) is a plus.