About the role
Role Title: Applied Scientist
Role Type: Contractor
Location: Remote
Required Skills:
* Python
* Machine Learning
* Statistics
* Data Analysis
* Experimentation
* Pandas
* Data Modeling
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.
Originally posted on Himalayas