Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in San Jose, CA, for 12 months at an onsite location. Requires 6+ years of applied data science experience, strong skills in statistics, SQL, and Python, with a focus on ML products and communication.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 18, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
California, United States
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🧠 - Skills detailed
#Forecasting #NLP (Natural Language Processing) #Libraries #Data Science #Python #SQL (Structured Query Language) #Recommender Systems #Datasets #ML (Machine Learning) #Statistics #Cloud #Strategy
Role description
Role: Data Scientist
Location: San Jose, CA (Onsite)
Duration: 12 months
We’re hiring a Data Scientist to turn data into insights and ML products that shape strategy and drive impact. You’ll work with product and engineering to design experiments, build predictive/NLP/time-series models, and deliver actionable insights at scale.
What you’ll bring:
• 6+ years applied data science experience in production.
• Strong skills in statistics, experimentation, SQL, and Python (or similar).
• Experience with ML libraries, large datasets, and distributed processing.
• Ability to communicate insights clearly to both technical and business audiences.
Nice to have: NLP, forecasting, recommender systems, real-time ML, or cloud/MLOps experience.
Role: Data Scientist
Location: San Jose, CA (Onsite)
Duration: 12 months
We’re hiring a Data Scientist to turn data into insights and ML products that shape strategy and drive impact. You’ll work with product and engineering to design experiments, build predictive/NLP/time-series models, and deliver actionable insights at scale.
What you’ll bring:
• 6+ years applied data science experience in production.
• Strong skills in statistics, experimentation, SQL, and Python (or similar).
• Experience with ML libraries, large datasets, and distributed processing.
• Ability to communicate insights clearly to both technical and business audiences.
Nice to have: NLP, forecasting, recommender systems, real-time ML, or cloud/MLOps experience.
