Data Scientist - R/Python

Description :

Key Responsibilities :

- 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 :

- 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.