Description

You will design, build, and deploy machine learning models and predictive analytics solutions to support data-driven decision making.

This role is on-site.

Responsibilities

• Analyze business requirements and large datasets to identify trends, patterns, and anomalies.
• Develop scalable data pipelines and data preparation methods to improve model accuracy.
• Design and implement machine learning algorithms and predictive models using Python.
• Collaborate with engineering teams to deliver production-ready analytics solutions and APIs.
• Continuously research and apply new data science and ML techniques to enhance outcomes.

Required Skills

• 5+ years of experience in data science, advanced analytics, or machine learning roles.
• Strong hands-on experience with Python for data analysis and machine learning.
• Proven ability to build scalable models, APIs, and collaborative codebases.
• Experience with predictive modeling and advanced analytics techniques.
• Bachelor’s degree in data science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Ability to translate business requirements into technical data solutions.

Key Skills

Education

Any Graduate