Side-by-side comparison of salary, skills, and career outlook for Data Scientist and Machine Learning Engineer positions in 2026.
Machine Learning Engineers earn approximately $22,500 more per year on average.
Highlighted skills are shared between both roles (2 skills in common).
Data Scientists extract insights and knowledge from structured and unstructured data using statistical analysis, machine learning, and domain expertise. They build predictive models, design experiments, and communicate findings to stakeholders to drive business decisions. The role bridges mathematics, computer science, and business strategy.
Machine Learning Engineers design, build, and deploy ML models and systems that can learn from data and make predictions at scale. They bridge the gap between data science research and production engineering, focusing on model optimization, pipeline automation, and serving infrastructure. The role requires deep understanding of both ML algorithms and software engineering best practices.