Key Responsibilities

- Model Development &
- Deployment:

Design, build, train, and evaluate predictive machine learning models (classification, regression, clustering) to solve core business problems.

- Data Wrangling &

- Pipeline Integration:

Clean, transform, and feature-engineer structured and unstructured data from disparate sources using SQL and Python/R.

- Exploratory Data Analysis (EDA): Analyze large datasets to identify trends, patterns, anomalies, and opportunities for optimization.

- Collaboration &

- Business Alignment:

Partner closely with product, engineering, and business stakeholders to understand requirements, define metrics, and communicate statistical findings in non-technical terms.

- Model Monitoring &

- Maintenance:

Monitor model performance in production, conduct AB testing, and continuously retrain models to minimize drift.

Required Qualifications &

- Skills

- Experience:



24 years of industry experience in a Data Scientist or Quantitative Analyst role.

- Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field.

- Programming: Robust proficiency in Python (Pandas, NumPy, Scikit-learn) or R.

- Database &
- SQL:

Advanced proficiency in SQL for extracting, manipulating, and aggregating large-scale datasets.

- Machine Learning Fundamentals: Solid understanding of supervised and unsupervised machine learning algorithms, statistical modeling, hypothesis testing, and evaluation metrics.

- Version Control: Hands-on experience with Git and standard developer workflows.

📌 Data Scientist (Chennai)
🏢 Saama Technologies
📍 Chennai