Remote Applied Scientist: Data & ML Solutions

RemoteJobsOne; Columbus (OH); Remote; USD 338,000 - 386,000; Part time

Job summary

RemoteJobsOne is seeking an Applied Scientist for a fully remote contractor role. You will apply statistical methods and ML to real-world data, helping train next-generation AI systems. Strong communication is essential as you document results and collaborate with stakeholders.

You will design experiments, develop models in Python using Pandas and scikit-learn, and deliver reproducible code and reports. Open to candidates in many countries; remote work environment emphasizes clarity and rigor.

Qualifications

• Experience in applied statistics, experimental design, and ML.
• Proficient in Python with Pandas and scikit-learn.
• Strong data modeling with structured and unstructured data.
• Excellent written and verbal communication for technical docs.
• At least one year at a top company.

Responsibilities

• Design and run statistical analyses to extract actionable insights.
• Develop and validate ML models for business/research goals.
• Use Python and Pandas for large-scale data transformations.
• Collaborate with stakeholders on experimentation frameworks.
• Document methodology and findings clearly.
• Deliver reproducible code and analytical reports.
• Provide structured feedback to improve model capability.
• Identify methodological flaws and statistical errors.
• Create prompts, datasets, and reference solutions.

Skills

Applied statistics

Experimental design

Machine learning

Data modeling

Technical writing

Education

Advanced degree in data science / related field

Tools

Python

Pandas

scikit-learn

Job description

RemoteJobsOne is seeking an Applied Scientist for a fully remote contractor role. You will apply statistical methods and ML to real-world data, helping train next-generation AI systems. Strong communication is essential as you document results and collaborate with stakeholders.

You will design experiments, develop models in Python using Pandas and scikit-learn, and deliver reproducible code and reports. Open to candidates in many countries; remote work environment emphasizes clarity and rigor.