Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown", offering a pay rate of "unknown", and requires remote work. Candidates need a relevant degree, 5+ years of experience, proficiency in Python/R/Scala, and ML deployment expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 19, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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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
#ML (Machine Learning) #Computer Science #PyTorch #Spark (Apache Spark) #TensorFlow #NoSQL #Databases #Python #Big Data #R #Mathematics #Data Science #Hadoop #SQL (Structured Query Language) #Statistics #Scala #ML Ops (Machine Learning Operations)
Role description
A technology services client of ours is looking for Data Scientist skills their ongoing projects.
Below are the additional details of this role:
Required Skills:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or related field (Ph.D. preferred).
• 5+ years of professional experience in data science, advanced analytics, or applied machine learning.
• Strong proficiency in Python, R, or Scala and hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.).
• Solid background in statistics, probability, optimization, and experimental design.
• Experience with big data platforms (e.g., Spark, Hadoop) and SQL/NoSQL databases.
• Proven experience in deploying ML models into production environments (ML Ops).
• Excellent communication skills with the ability to convey technical results to diverse stakeholders.
A technology services client of ours is looking for Data Scientist skills their ongoing projects.
Below are the additional details of this role:
Required Skills:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or related field (Ph.D. preferred).
• 5+ years of professional experience in data science, advanced analytics, or applied machine learning.
• Strong proficiency in Python, R, or Scala and hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.).
• Solid background in statistics, probability, optimization, and experimental design.
• Experience with big data platforms (e.g., Spark, Hadoop) and SQL/NoSQL databases.
• Proven experience in deploying ML models into production environments (ML Ops).
• Excellent communication skills with the ability to convey technical results to diverse stakeholders.
