Description

You will design, build, and deploy machine learning models to solve complex quantitative problems.

This role is hybrid.

Responsibilities

• Extract, clean, and analyze large datasets to identify patterns and drive decision-making.
• Design and implement statistical and machine learning models, including deep learning techniques.
• Develop feature engineering strategies to improve model representation and performance.
• Communicate findings and technical solutions clearly to stakeholders at all organizational levels.
• Scale model development and deployment using cloud platforms and parallel processing.

Required Skills

• Master’s or PhD in a quantitative discipline (Data Science, ML, CS, Math, Statistics).
• 3+ years of professional experience in a technical role.
• Strong proficiency in Python programming.
• Practical experience with data extraction, cleaning, and analysis.
• Deep knowledge of statistical and machine learning techniques.
• Experience with SQL for data querying and management.
• Ability to work effectively in diverse, cross-functional teams.

Preferred Skills

• 8+ years of total experience in a technical professional environment.
• Experience with Databricks and Azure for cloud-based model deployment.
• Proficiency in data visualization tools such as Tableau or PowerBI.

Key Skills

Education

Any Graduate