Applicantz
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist on a contract basis, requiring 1-2 days onsite in Fremont, CA. Key skills include GenAI and Python. Experience with big data analysis and data science is essential. Visa sponsorship is not available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date
February 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Fremont, CA
-
🧠 - Skills detailed
#Datasets #Data Analysis #Big Data #Data Science #Metadata #Python
Role description
VISA SPONSORSHIP IS NOT AVAILABLE
Contract role with 1-2 days Onsite/week in Fremont, CA.
Top Skills:
• Experience with GenAI
• Python
Responsibilities:
• Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Our Client is a Fortune 350 company that engages in the design, manufacturing, marketing, and service of semiconductor processing equipment.
VISA SPONSORSHIP IS NOT AVAILABLE
Contract role with 1-2 days Onsite/week in Fremont, CA.
Top Skills:
• Experience with GenAI
• Python
Responsibilities:
• Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Our Client is a Fortune 350 company that engages in the design, manufacturing, marketing, and service of semiconductor processing equipment.
