🌎Applied Scientist, Remote- Contract✦ anywhere

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:

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Design and execute statistical analyses to uncover actionable insights from complex datasets.

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Develop and validate machine learning models for various business or research objectives.

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Apply data modeling techniques and manage large-scale data transformations using Python and Pandas.

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Collaborate with stakeholders to define experimentation frameworks and analyze outcomes.

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Document methodology, findings, and recommendations with a focus on clarity and precision.

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Review peer contributions and provide high-quality feedback to support knowledge sharing.

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Deliver reproducible code and well-organized analytical reports as part of the project deliverables.

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Evaluate AI model outputs on statistics, machine learning, experimentation, and quantitative problems.

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Create expert-level prompts, datasets, and reference solutions.

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Identify flawed methodology, statistical errors, and weak quantitative reasoning.

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Provide clear, structured feedback that improves model capability.

Preferred Qualifications:

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At least one year at a top company (tech, finance, or research).

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Expertise in Python, including proficiency with libraries such as Pandas and scikit-learn (sklearn).

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Demonstrated experience in applied statistics, experimental design, and machine learning.

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Proven ability to develop, tune, and evaluate machine learning models in practical settings.

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Strong data modeling skills and experience managing structured and unstructured data.

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Excellent written and verbal communication skills, with a passion for clear technical documentation.

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Experience collaborating on open or cross-functional data science projects is a plus.

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Advanced academic background or hands-on work in data science, applied mathematics, or related fields.

Originally posted on Himalayas