- Solid proficiency in Python or R.
- Experience with machine learning libraries
- Strong knowledge of statistics, probability, and hypothesis testing.
- Expertise in SQL and database systems.
- Experience with data visualization tools like Power BI , Tableau, etc
- Experience with cloud platforms like Azure / AWS / GCP/ Databricks, etc.
Key Responsibilities:
- Analyze large and complex datasets to identify trends, patterns, and drivers of business outcomes.
- Develop, validate, and deploy predictive models using regression and machine learning techniques.
- Perform feature engineering, variable selection, and model optimization.
- Apply statistical methods to evaluate model performance and business impact.
- Build, validate,
and deploy machine learning and statistical models.
- Develop predictive and prescriptive analytics solutions.
- Design and implement data pipelines and feature engineering workflows.
- Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
- Create dashboards, reports, and visualizations to communicate insights effectively.
- Monitor model performance and retrain models as needed.
- Stay current with emerging technologies and industry trends in AI, ML, and Data Science.
- Ensure data quality, security, and compliance with organizational standards.
📌 Data Scientist (Gurugram)
🏢 Tata Consultancy Services
📍 Gurugram
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