Description

You will develop machine learning models and extract insights from large structured and unstructured datasets.

This role is on-site.

Responsibilities

• Collect, clean, and analyze large datasets to identify trends and patterns.
• Develop and implement machine learning models and statistical algorithms.
• Build and maintain data pipelines and model deployment workflows.
• Monitor and improve the performance of deployed models.
• Present findings using visualizations and dashboards.

Required Skills

• 5+ years of experience in data science or analytics.
• Strong programming skills in Python or R.
• Proficiency with SQL.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Knowledge of statistical methods, hypothesis testing, and experimental design.
• Experience with data visualization tools like Tableau, Power BI, matplotlib, or seaborn.
• Familiarity with cloud platforms including AWS, GCP, or Azure (e.g., S3, Redshift, BigQuery).
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.

Key Skills

Education

Any Graduate