Description

You will own the end-to-end lifecycle of data science and analytics projects.

This role is on-site.

Responsibilities

• Gather and translate business requirements into analytical solutions.
• Clean, preprocess, and analyze large structured or unstructured datasets to identify trends.
• Build and deploy statistical models and machine learning algorithms.
• Perform feature engineering and data pipeline preparation.
• Collaborate with cross-functional teams to deliver actionable insights.

Required Skills

• 5+ years of experience in data science or analytics.
• Strong proficiency in Python and SQL.
• Hands-on experience with data analysis, ETL, and data preprocessing.
• Deep knowledge of statistical analysis and machine learning techniques.
• Ability to work independently and solve complex problems.
• Excellent communication and collaboration skills.

Preferred Skills

• Experience with PySpark, Databricks, AWS, Git/GitHub, and Bash.
• Knowledge of MLOps or Data Engineering practices.

Key Skills

Education

Master’s or PhD