Applied Scientist

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 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.