- Bachelor or Master degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- 36 years of hands-on experience in the Data Science domain, with a strong track record of solving real-world business problems using data.
- Experience working in cross-functional environments, collaborating with business stakeholders, product teams, and engineering teams.
- Core Technical Skills Strong understanding of data science fundamentals, including data structures, algorithms, statistical modeling, and database systems.
- Advanced proficiency in SQL for complex querying, data manipulation, and performance optimization.
- Solid programming skills in Python, including experience with libraries such as Pandas, NumPy, Scikit-learn, and other relevant frameworks.
- Machine Learning Advanced Analytics Extensive experience in building, evaluating, and deploying machine learning models in production environments.
- Expertise in feature engineering, model selection, hyperparameter tuning, and performance monitoring.




- Solid understanding of supervised and unsupervised learning techniques, as well as exposure to advanced methods such as time series forecasting, NLP, or deep learning.
- Strong grounding in statistical analysis, hypothesis testing, and experimental design (A/B testing) to derive actionable insights.
- Data Engineering Systems Knowledge Working knowledge of distributed computing frameworks (e.g., Apache Spark) and large-scale data processing systems.
- Experience in designing and maintaining data pipelines, ETL processes, and data transformation workflows.
- Familiarity with cloud platforms such as Azure, AWS, or GCP and exposure to MLOps practices, including model deployment and monitoring.
- Visualization Communication Proficiency in data visualization tools such as Tableau, Power BI, or Superset for developing dashboards and reports.
- Ability to translate complex analytical findings into clear, concise, and actionable insights t

📌 Senior Associate Data Analytics (Mumbai)
🏢 National Payments Corporation Of India (NPCI)
📍 Mumbai