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.
- Solid 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.

📌 Data Scientist (Bengaluru)
🏢 Careernet
📍 Bengaluru