BayOne Solutions
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a 6+ month contract, paying $70 to $75/hr on W2. It requires expertise in SQL, Python, data visualization tools, and machine learning techniques, including NLP and A/B testing. Remote work based in Sunnyvale, CA.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
December 4, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#Database Systems #Microsoft Power BI #Visualization #Supervised Learning #Python #Libraries #NLP (Natural Language Processing) #A/B Testing #Data Science #ML Ops (Machine Learning Operations) #Deep Learning #SQL (Structured Query Language) #BI (Business Intelligence) #Tableau #Data Manipulation #Unsupervised Learning #ML (Machine Learning) #Reinforcement Learning
Role description
Title: Data Scientist
Location: Sunnyvale, CA (Remote Role)
Duration: 6+months with possible extension
Payrate: $70to $75/hr. on W2
Job Responsibilities:
Technical Skills:
• Expertise in SQL and experience working with various database systems.
• Expert-level proficiency in Python including extensive experience with relevant libraries for data manipulation, analysis, modeling, and visualization.
• Strong experience with data visualization tools and techniques (e.g., Tableau, Power BI etc.).
• Deep understanding and practical experience with a wide range of machine learning techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Proficient in NLP techniques, and A/B testing and experimentation. Experience with LLM and ML Ops is a plus.
Title: Data Scientist
Location: Sunnyvale, CA (Remote Role)
Duration: 6+months with possible extension
Payrate: $70to $75/hr. on W2
Job Responsibilities:
Technical Skills:
• Expertise in SQL and experience working with various database systems.
• Expert-level proficiency in Python including extensive experience with relevant libraries for data manipulation, analysis, modeling, and visualization.
• Strong experience with data visualization tools and techniques (e.g., Tableau, Power BI etc.).
• Deep understanding and practical experience with a wide range of machine learning techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Proficient in NLP techniques, and A/B testing and experimentation. Experience with LLM and ML Ops is a plus.
