Role Overview
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. In addition, you will write, review, and validate prompt‑based questions used to train AI systems.
You are a good fit if you:
- Have over 3+ years of professional experience in data science or applied analytics.
- Are highly skilled in Python and Jupyter notebooks.
- Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow.
- Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia.
- 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.
- Demonstrate excellent verbal and written communication skills.
- Have strong attention to details.
More About the Opportunity
Commitment: 20–40 hours per week, with potential to scale up to 80 hours.
Start Date: Early September, with applications reviewed on a rolling basis.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
