Senior Associate Data Science

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 & Qualifications Technical Skills Strong proficiency in Python (NumPy, Pandas, Scikit‑learn)

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