Description

Design, develop, and launch data pipelines for analyzing and modeling large, complex datasets.

This role is on-site.

Responsibilities

• Discover and curate datasets to support solution development, performing rigorous evaluation and analysis.
• Design, create, and implement quantitative models to solve business problems.
• Validate the quality of data, models, and final results before deployment.
• Deploy solutions in collaboration with product teams, ensuring smooth integration into existing architectures.
• Interact with product teams regarding user requirements and respond to customer feedback and timelines.

Required Skills

• 5+ years of industry experience with Python.
• Expertise in data handling libraries, specifically Pandas and PyArrow.
• Strong background in database management using MySQL and Oracle.
• Experience with large-scale data processing and batch processing pipelines in HPC or cloud architecture.
• Degree in Statistics, Mathematics, Engineering, or a similar field.

Preferred Skills

• Master’s degree in a relevant field.
• Experience with Cloud Computing environments including AWS, GCloud, or Azure.

Key Skills

Education

Any Graduate