Data Scientist (3-5 years)

Design, develop, and deploy scalable machine learning models for batch, real-time, and edge environments.

Analyze complex, high-volume datasets to extract actionable insights supporting strategic business decisions.

Collaborate with engineering, product, and business teams to define challenges and deliver data-driven solutions to executives.

3 to 5 years of professional experience as a Data Scientist with machine learning deployment experience.

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or related quantitative field.

Advanced proficiency in Python and SQL.

Ability to analyze data independently and communicate complex quantitative findings effectively.

Experienced in deploying machine learning algorithms into production environments across diverse architectures including real-time and edge computing.

Strong foundation in traditional machine learning, statistical modeling, and linear algebra.

Demonstrates ability to work cross-functionally and translate technical insights for executive stakeholders.