3D AGO

Applied Scientist

micro1 / Applied Scientist

RATE

$245 - $280/HR

LOCATION

REMOTE (GLOBAL)

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DESCRIPTION

Role Title: Applied Scientist Role Type: Contractor Location: Remote micro1 is 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

REQUIREMENTS

▸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.