Crossing Hurdles
Senior Data Scientist | Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist on an hourly contract, offering $100-$160 per hour. It requires a PhD or MS in a related field, industry experience in quant trading, bioinformatics, or astrophysics, and proficiency with cloud-based data and ML tools.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
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💰 - Day rate
160
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🗓️ - Date
March 20, 2026
🕒 - Duration
Unknown
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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 Kingdom
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🧠 - Skills detailed
#Azure #AI (Artificial Intelligence) #Cloud #Data Science #ML (Machine Learning) #Mathematics #Snowflake #BigQuery #Databricks #AWS (Amazon Web Services)
Role description
Position: Experienced & Credentialed Data Scientists
Type: Hourly contract
Compensation: $100-$160 per hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
• Work on projects that focus on training and enhancing AI systems
• Apply data science expertise in domains such as quant trading, bioinformatics, astrophysics, and applied computational mathematics
Requirements
• Strong credentials in data science, typically a PhD or MS in a related field
• Industry work experience in fields such as quant trading, bioinformatics, astrophysics, applied computational mathematics, or similar
• Experience with cloud-based data and ML tools such as Google Colab, BigQuery, Databricks, Snowflake, or AWS/Azure analytics tools
Application Process (Takes 20 Mins)
• Upload resume
• Interview (15 min)
• Submit form
Position: Experienced & Credentialed Data Scientists
Type: Hourly contract
Compensation: $100-$160 per hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
• Work on projects that focus on training and enhancing AI systems
• Apply data science expertise in domains such as quant trading, bioinformatics, astrophysics, and applied computational mathematics
Requirements
• Strong credentials in data science, typically a PhD or MS in a related field
• Industry work experience in fields such as quant trading, bioinformatics, astrophysics, applied computational mathematics, or similar
• Experience with cloud-based data and ML tools such as Google Colab, BigQuery, Databricks, Snowflake, or AWS/Azure analytics tools
Application Process (Takes 20 Mins)
• Upload resume
• Interview (15 min)
• Submit form
