We are looking for a hands-on Data Scientist to design, develop, and deploy advanced analytics and machine learning solutions to identify patterns, anomalies, risks, and optimization opportunities within large and complex datasets. The ideal candidate will have strong expertise in data science fundamentals, anomaly detection, statistical modeling, machine learning, and end-to-end MLOps implementation, with experience building scalable analytical solutions in production environments.

Required Skills & Qualifications

Experience: 48+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related roles.
Strong experience in anomaly detection techniques (Isolation Forest, Autoencoders, One-Class SVM, clustering-based approaches, or hybrid methodologies).




Robust understanding of machine learning algorithms (supervised and unsupervised learning).
Expertise in statistical modeling, experimentation, hypothesis testing, feature engineering, and feature selection.
Robust programming skills in Python (Pandas, NumPy, Scikit-learn, PySpark preferred).
Experience working with large-scale datasets using SQL and distributed computing platforms.
Proven experience in MLOps, including model deployment, monitoring, CI/CD, governance, and drift detection.
Experience with cloud platforms (AWS preferred) and managed ML services.
Solid understanding of data engineering concepts, data pipelines, and production-grade ML systems.

📌 Data Scientist Anomaly Detection And Ml Ops Pune (India)
🏢 Tech Mahindra
📍 India