Roles and Responsibilities:

• Analyze structured and unstructured data to identify trends, patterns, and opportunities.
• Build, validate, and deploy machine learning models to solve business problems.
• Design and conduct A/B tests and other statistical analyses to support product and marketing initiatives.
• Collaborate with cross-functional teams including product, engineering, and business stakeholders to translate data insights into decisions.
• Develop dashboards and visualizations to communicate findings to technical and non-technical audiences.
• Automate data pipelines and workflows to improve data accessibility and quality.
• Stay current with the latest techniques in data science and machine learning.

Technical Skills:

• Proficiency in Python or R for data analysis and modeling.
• Knowledge of Time Series Analysis, Mathematical Optimization (LP/NLP/ILP),Python And Databricks is must.
• Strong SQL skills for data extraction and manipulation.
• Experience with machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Plotly, or Matplotlib).
• Experience with big data tools (e.g., Spark, Hadoop) is a plus.
• Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus.