Data Scientist

Key Skills: Python, SQL, Data Analytics, Pytorch, Pandas, Sci-Kit Learn, Tensorflow, Numpy

Roles and Responsibilities:

• Develop and productionize data science workflows and analytical solutions using Dataiku and Python.
• Extract, transform, analyze, and validate data from relational and enterprise data sources using SQL.
• Build, evaluate, and refine statistical and machine learning models for business and operational use cases.
• Perform exploratory data analysis, feature engineering, model validation, and interpretation of results.
• Present analytical findings, model outcomes, and actionable recommendations to technical and business stakeholders.

Skills Required:

• 7-10 years of relevant experience in data science, machine learning, advanced analytics, or a related field.
• Hands-on experience with Dataiku for data preparation, analytics, machine learning workflows, and model operationalization.
• Strong Python programming skills for data analysis, statistical modeling, and machine learning development.
• Advanced SQL proficiency, including complex queries, joins, aggregations, data validation, and analytical transformations.
• Experience with the end-to-end data science lifecycle, including feature engineering, model evaluation, experimentation, and production delivery.

Good to Have:

• Experience with pandas, NumPy, scikit-learn, Jupyter, TensorFlow, or PyTorch.

Education: M.Tech or M.Sc. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.