

Great Value Hiring
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 3+ years of experience, proficient in Python and machine learning frameworks. It offers $60-$100/hr for a minimum of 1 month, fully remote, focusing on data analysis and model evaluation.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date
November 2, 2025
🕒 - Duration
1 to 3 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Data Wrangling #Python #Datasets #ML (Machine Learning) #Computer Science #PyTorch #Libraries #Statistics #Data Science #A/B Testing #Jupyter #TensorFlow #Data Analysis #Model Evaluation #Pandas #NumPy #SciPy
Role description
Data Scientists [$60-$100/hr]
As referral partner, we are posting to seek data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems.
You are a good fit if you:
• Have over 3+ years of professional experience in data science or applied analytics.
• Are highly skilled in Python and Jupyter notebooks.
• Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow.
• Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or the Australia.
• Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference.
• Demonstrate excellent verbal and written communication skills.
• Have strong attention to details.
More About the Opportunity
• Commitment: 20–40 hours per week, with potential to scale up to 80 hours.
• Structure: Fully remote and asynchronous - set your own schedule.
• Duration: Minimum 1 month, with possible extension based on project scope and performance.
Application Process
• Submit your resume or project portfolio to get started.
• Complete a brief form outlining your technical background and agent usage experience.
• Applications are reviewed continuously, and selected professionals will be contacted with next steps.
Data Scientists [$60-$100/hr]
As referral partner, we are posting to seek data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems.
You are a good fit if you:
• Have over 3+ years of professional experience in data science or applied analytics.
• Are highly skilled in Python and Jupyter notebooks.
• Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow.
• Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or the Australia.
• Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference.
• Demonstrate excellent verbal and written communication skills.
• Have strong attention to details.
More About the Opportunity
• Commitment: 20–40 hours per week, with potential to scale up to 80 hours.
• Structure: Fully remote and asynchronous - set your own schedule.
• Duration: Minimum 1 month, with possible extension based on project scope and performance.
Application Process
• Submit your resume or project portfolio to get started.
• Complete a brief form outlining your technical background and agent usage experience.
• Applications are reviewed continuously, and selected professionals will be contacted with next steps.






