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 (India)
🏢 National Payments Corporation Of India (NPCI)
📍 India