Data Scientist

About the Role

We are looking for a Data Scientist who can transform data into actionable insights and build intelligent models that drive business decisions. The ideal candidate should be comfortable working with large datasets, developing machine learning models, and leveraging Python and Generative AI tools to solve complex problems.

Key Responsibilities

• Analyze large datasets to identify patterns, trends, and insights.
• Build and deploy machine learning models for prediction and optimization.
• Use Python (Pandas, NumPy, Scikit-learn) for data analysis and modeling.
• Work with SQL and data warehouses to extract and transform data.
• Develop data visualizations and dashboards to communicate insights.
• Experiment with Generative AI / LLMs to enhance data analysis workflows.
• Collaborate with product, engineering, and business teams to translate data into decisions.
• Design experiments and evaluate model performance.

Required Skills

• Strong proficiency in Python for data science (Pandas, NumPy, Scikit-learn).
• Experience with machine learning algorithms and model evaluation.
• Solid understanding of statistics and data analysis techniques.
• Experience with SQL and relational databases.
• Experience working with large datasets and data pipelines.
• Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, Tableau, or Power BI).

Good to Have

• Experience with Generative AI / LLM APIs (OpenAI, Anthropic, etc.).
• Familiarity with LangChain or AI workflow tools.
• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Experience with deep learning frameworks (TensorFlow, PyTorch).
• Experience with MLOps or model deployment pipelines.

PS: You''ll need to appear for the challenge assessment to move to the further rounds. Top performers will be selected for further rounds.