Description

You will build and maintain end-to-end machine learning models to extract insights from large datasets.

This role is on-site.

Responsibilities

• Develop and implement machine learning models using Python and PySpark.
• Analyze large datasets to identify trends and extract meaningful insights.
• Design and conduct experiments to validate model performance and drive improvements.
• Collaborate with the Data Science Center of Excellence to apply advanced methodologies.
• Communicate technical findings and recommendations to stakeholders.

Required Skills

• 5+ years of experience in data science and machine learning.
• Proficiency in Python and PySpark.
• Solid understanding of supervised and unsupervised learning concepts.
• Experience building end-to-end machine learning models independently.
• Experience with data visualization tools and techniques.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• Strong problem-solving skills and attention to detail.

Key Skills

Education

Bachelor's or Master's degrees