Description

You will design and build data-driven solutions to solve business problems.

This role is hybrid.

Responsibilities

• Analyze datasets and business requirements to define analytical approaches for decision support.
• Design and implement ML models, hypotheses, and experiments to drive data-driven outcomes.
• Apply analytics techniques like data mining, predictive, and prescriptive modeling to find patterns in data.
• Develop efficient data loading and augmentation strategies to improve model accuracy and scalability.
• Research and stay current with advancements in data science and ML techniques.

Required Skills

• 3 to 5 years of relevant experience in data science.
• Proficiency in Python and SQL.
• Strong foundation in Statistics and Machine Learning.
• Experience with data analysis and modeling techniques.

Preferred Skills

• Experience with LLMs, Cloud, and GCP.
• Master's Degree.

Key Skills

Education

Bachelor's or Master's degrees