Manager - Data Science

- Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field.

- More than 8 years of experience in data engineering, data science, or a hybrid analytics role.

- End-to-end delivery of data science projects, from problem definition and data exploration to modeling, deployment, and monitoring.

- Develop predictive models to forecast risks and propose mitigation measures.

- Review and guide model development (ML/AI, statistical modeling, optimization) ensuring quality, scalability, and interpretability.

- Communicate insights and recommendations to technical and non-technical stakeholders.

- Automation and AI-driven insights for predictive management

- Strong foundation in statistics, machine learning, and experimental design.

- Proven ability to influence stakeholders and drive outcomes through data.

Hands on technical experience on :

- Programming: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch

- Data Visualization: Power BI, Matplotlib, Seaborn

- Data Management: SQL, SSMS, data warehousing concepts

- Machine Learning: Supervised/unsupervised learning, NLP, model evaluation

- Tools & Platforms: Power Automate, Power Apps, Git, Jupyter Notebooks