Applied Scientist – Remote

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

IMPORTANT: after you apply, please check your email. We sendyou a link to complete your application — it is not considered until that laststep 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 customer's data-driven project, focusing on advanced analytics and experimentation. In this role, you'll 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

• Design and execute statistical analyses to uncover actionable insights from complex datasets.
• Develop and validate machine learning models for various 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 a focus on clarity and precision.
• Review peer contributions and provide high-quality feedback to support knowledge sharing.
• Deliver reproducible code and well-organized analytical reports as part of the project deliverables.
• Evaluate AI model outputs on statistics, machine learning, experimentation, and quantitative problems.
• Create expert-level prompts, datasets, and reference solutions.
• Identify flawed methodology, statistical errors, and weak quantitative reasoning.
• Provide clear, structured feedback that improves model capability.

Preferred Qualifications

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