Senior Data Scientist

Tata Consultancy Services; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading IT services company in India is seeking a Senior Data Scientist. The ideal candidate will have 6-8 years of experience in data science, proficiency in Python and SQL, and a strong foundation in machine learning algorithms. This full-time role involves analyzing complex datasets, developing machine learning models, and collaborating with various teams to deliver data-driven solutions.

Qualifications

• 6-8 years of experience in data science or related field.
• Strong understanding of statistics, probability, and hypothesis testing.
• Experience with A/B testing and data visualizations.

Responsibilities

• Analyze large datasets to identify trends and patterns.
• Develop and deploy machine learning models.
• Collaborate with engineers and analysts to turn insights into action.

Skills

Python

SQL

Machine learning algorithms

Statistics

Cloud platforms

Tools

TensorFlow

AWS

Databricks

Job description

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Direct message the job poster from Tata Consultancy Services

Talent Acquisition @ Tata Consultancy Services | Strategic Sourcing, Recruitment

Greetings from TATA Consultancy Services!!

We are Looking for Senior Data Scientist

Experience: 6-8 Years

Notice Period: 30 – 45 Days only

Job Description:

• Proficiency in Python for data analysis and modeling.
• Strong knowledge of SQL and working with relational databases.
• Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost etc).
• Experience in Forecasting will be added advantage
• Solid understanding of statistics, probability, and hypothesis testing.
• Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
• Working knowledge with cloud platforms like AWS, Databricks (Databricks preferred)
• Experience in MLOP\'s and CI/CD work flow
• Experience in developing end to end pipeline in any of cloud platform (AWS and Databricks)
• Analyze large, complex datasets to identify trends, patterns, and opportunities.
• Develop and deploy machine learning models to solve business challenges.
• Communicate findings through data visualizations and reports.
• Collaborate with data engineers, analysts, and product teams to turn insights into action.
• Design and implement A/B tests to evaluate feature performance or business hypotheses.
• Translate business problems to data science problem
• Work with stakeholders to understand data needs and deliver custom solutions.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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