Scientist in Machine Learning

Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. Have over 3+ years of professional experience in data science or applied analytics.

Are highly skilled in Python and Jupyter notebooks.

Have a bachelor's degree in data science, statistics, computer science, or related field in the U.Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference.

Fully remote and asynchronous - set your own schedule.

Duration: Minimum 1 months, with possible extension based on project scope and performance.

Submit your resume or project portfolio to get started.

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