Description :
Key Responsibilities :
- Design, develop, and deploy machine learning and statistical models for predictive and prescriptive analytics.
- Perform data exploration, feature engineering, and model validation using Python and R.
- Analyze large datasets to extract patterns, trends, and actionable insights.
- Develop and maintain data pipelines and automation workflows for analytics solutions.
- Communicate findings clearly through data visualization and storytelling (R Shiny, matplotlib, seaborn, Power BI, etc.).
- Collaborate with engineering and product teams to integrate models into production systems.
- Conduct A / B testing, hypothesis validation, and statistical analysis for business decisions.
- Stay updated on new technologies, algorithms, and best practices in data science and AI.
Required Skills & Qualifications :
8 - 12 years of hands-on experience as a Data Scientist or in a similar analytical role.Strong expertise in Python and R for data analysis, modeling, and visualization.Proficiency in machine learning frameworks (scikit-learn, TensorFlow, PyTorch, caret, etc.).Strong understanding of statistical modeling, hypothesis testing, regression, and classification techniques.Experience with SQL and working with large-scale structured and unstructured data.Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment practices (Docker, MLflow).Excellent analytical, problem-solving, and communication skills.(ref : hirist.tech)