Data Scientist

Position : Data Scientist (Machine learning Model)

Purpose of the Position:

The Data Scientist will be responsible for designing and implementing data-driven solutions to solve business problems. This role involves working with large datasets, building predictive models, and collaborating with cross-functional teams to deliver actionable insights. The position is ideal for someone with strong analytical skills and hands-on experience in data science tools and techniques.

Location: Chennai/ Bangalore/ Pune/ Nagpur

Type of Employment: Full time

Key Result Areas and Activities:

• Model Development & Analysis: Develop machine learning models for classification, regression, and forecasting tasks using Python and relevant libraries.

• Data Preparation & Feature Engineering: Clean, transform, and prepare structured and unstructured data for modeling and analysis.

• Business Collaboration: Work with business stakeholders to understand requirements and translate them into data science solutions.

• Model Evaluation & Reporting: Evaluate model performance using appropriate metrics and present findings through visualizations and reports.

• Deployment Support: Collaborate with engineering and MLOps teams to support model deployment and monitor performance in production.

Work and Technical Experience

Must Have Skills

• Proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with machine learning techniques and model development.
• Knowledge of data preprocessing, feature engineering, and model evaluation.
• Familiarity with SQL and data querying.
• Exposure to cloud platforms (AWS/GCP/Azure) and version control (Git).
• Ability to work with large datasets and distributed computing frameworks (e.g., Spark).
• Strong problem-solving and analytical thinking.

Good To Have Skill

• Experience with deep learning frameworks (TensorFlow, PyTorch).
• Knowledge of PySpark or Databricks.
• Understanding of MLOps practices and CI/CD pipelines.
• Exposure to GenAI or LLM-based applications.
• Experience in supply chain, operations, or financial analytics domains.

Qualification:

• Experience: 5+ years of experience in data science, machine learning, or analytics roles.
• Education: Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or a related field. Master’s degree is a plus.