Crossing Hurdles' partner collaborates with world's leading AI research labs to build and train cutting-edge AI models. The business problem is to find and refer qualified Data Scientists to assist in these efforts.
Requirements
- Skilled in Python and Jupyter notebooks.
- Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow.
- 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.
Responsibilities
- Focus on hands‑on data science tasks, such as designing experiments
- Gathering and preprocessing data
- Building and evaluating models
- collaborating closely with engineering teams to deploy production‑ready solutions
- Ensure output consistency and quality through collaboration with peers and feedback from reviewers
Other
- Have strong professional experience in data science or applied analytics.
- Hourly Contract
- Remote
- Approximately 2 months (extension feasible)
- 10-40 hours per week, fully asynchronous
