Senior Associate Data Science

Key Responsibilities

- Understand business problems and translate them into data science solutions
- Perform data analysis, data cleaning, and feature engineering on large datasets
- Build, evaluate, and optimize machine learning / statistical models
- Apply techniques such as regression, classification, clustering, and time-series modeling
- Develop and deploy models using Python-based ML frameworks
- Partner with engineering teams to productionize models and pipelines
- Communicate insights and model outcomes to non-technical stakeholders
- Monitor model performance and retrain models as required
- Document methodologies, assumptions, and results clearly

Required Skills

Technical Skills
- Robust proficiency in Python (NumPy, Pandas, Scikit-learn)




- Experience with Machine Learning algorithms (Supervised Unsupervised)
- Solid understanding of statistics, probability, and data distributions
- Experience working with SQL and relational databases
- Knowledge of data preprocessing, feature engineering, and model evaluation
- Familiarity with Git and version control

Data Tools

- Experience with Jupyter / kubeflow / notebooks

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Associate Data Science (Hyderabad)
🏢 National Payments Corporation Of India (NPCI)
📍 Hyderabad