Applied Scientist - Remote

IMPORTANT: after you apply please check your email. We send you a link to complete your application it is not considered until that last step is done. If you do not see it check your spam folder.

This is a fully remote position open to candidates based in 55 countries including United States United Kingdom Canada Germany India France Netherlands Singapore.

Pay: $245$280/hr

Role Title: Applied Scientist

Role Type: Contractor

Location: Remote

We are engaging Applied Scientists to contribute to a customers data-driven project focusing on advanced analytics and this role youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn reason and perform through high-quality real-world input. No prior experience in AI is required; your domain knowledge is what matters. This opportunity is part of an open Data Scientist project with a strong emphasis on clear written and verbal communication.

Scope of Work

1. Design and execute statistical analyses to uncover actionable insights from complex datasets.
2. Develop and validate machine learning models for various business or research objectives.
3. Apply data modeling techniques and manage large-scale data transformations using Python and Pandas.
4. Collaborate with stakeholders to define experimentation frameworks and analyze outcomes.
5. Document methodology findings and recommendations with a focus on clarity and precision.
6. Review peer contributions and provide high-quality feedback to support knowledge sharing.
7. Deliver reproducible code and well-organized analytical reports as part of the project deliverables.
8. Evaluate AI model outputs on statistics machine learning experimentation and quantitative problems.
9. Create expert-level prompts datasets and reference solutions.
10. Identify flawed methodology statistical errors and weak quantitative reasoning.
11. Provide clear structured feedback that improves model capability.

Preferred Qualifications

1. At least one year at a top company (tech finance or research).
2. Expertise in Python including proficiency with libraries such as Pandas and scikit-learn (sklearn).
3. Demonstrated experience in applied statistics experimental design and machine learning.
4. Proven ability to develop tune and evaluate machine learning models in practical settings.
5. Strong data modeling skills and experience managing structured and unstructured data.
6. Excellent written and verbal communication skills with a passion for clear technical documentation.
7. Experience collaborating on open or cross-functional data science projects is a plus.
8. Advanced academic background or hands-on work in data science applied mathematics or related fields.

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.