Applied Scientist

Remolity, Inc.; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

micro1 is seeking an Applied Scientist to contribute to a data-driven project focused on analytics and experimentation. You will train and evaluate models, craft prompts and data resources, and communicate findings with precision.

Strong Python skills (Pandas, scikit-learn) and a background in statistics or applied mathematics are preferred. Collaboration with stakeholders and clear documentation are essential for success.

Qualifications

• Experience applying statistics to real-world data and designing experiments.
• Proficient in Python data libraries and ML model evaluation.
• Ability to communicate complex methods clearly in writing.

Responsibilities

• Design and execute statistical analyses to derive insights from complex datasets.
• Develop and validate machine learning models for business or research goals.
• Apply data modeling techniques and manage large-scale data transformations using Python.
• Collaborate with stakeholders to define experimentation frameworks and analyze results.
• Document methodology and findings with clear, precise reporting.

Skills

Python

Pandas

scikit-learn

Statistics

Experimental design

Data modeling

Communication

Education

Advanced degree in data science or related field

Tools

Jupyter

Git

SQL

Job description

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.

Responsibilities

• 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.