🌎Applied Scientist, Remote- Contract

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