Remote Applied Scientist — Data, ML & Experimentation

micro1; United States; Remote; USD 83,000 - 124,000; Part time

Job summary

micro1 is seeking an Applied Scientist for a remote contractor role focused on analytics and experimentation. You will train next-generation AI systems and shape model learning, reasoning, and performance through real-world input.

The position emphasizes high-quality, reproducible code and precise written and verbal communication, with collaboration across stakeholders to define experiments and deliver actionable insights.

Qualifications

• Experience in applied statistics and experimental design.
• Proven ability to build, tune and evaluate ML models in practical settings.
• Strong data modeling skills across structured and unstructured data.
• Excellent written and verbal communication with clear technical documentation.

Responsibilities

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

Skills

Applied statistics

Experimental design

Machine learning

Data modeling

Communication

Tools

Python

Pandas

scikit-learn

Job description

micro1 is seeking an Applied Scientist for a remote contractor role focused on analytics and experimentation. You will train next-generation AI systems and shape model learning, reasoning, and performance through real-world input.

The position emphasizes high-quality, reproducible code and precise written and verbal communication, with collaboration across stakeholders to define experiments and deliver actionable insights.