Applied Scientist – Remote

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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.

• 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.

• 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.