Programmers.io
Data Scientist - (12+ Yrs. EXP)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 12+ years of experience, offering a contract length of "unknown," a pay rate of "unknown," and remote work location. Key skills include Python, machine learning, classification, regression, and data structure expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Science #Libraries #Regression #ML (Machine Learning) #Classification #Datasets #Python
Role description
Job Details-
• Develop and deploy machine learning models using Python and industry-standard libraries
• Implement and optimize algorithms for classification, regression, and predictive analytics
• Apply strong knowledge of data structures to handle large-scale datasets efficiently
• Collaborate with cross-functional teams to translate business problems into ML solutions
• Continuously evaluate model performance and improve accuracy through tuning and experimentation
• Develop and deploy machine learning models using Python and industry-standard libraries
• Implement and optimize algorithms for classification, regression, and predictive analytics
• Apply strong knowledge of data structures to handle large-scale datasets efficiently
• Collaborate with cross-functional teams to translate business problems into ML solutions
• Continuously evaluate model performance and improve accuracy through tuning and experimentation
Job Details-
• Develop and deploy machine learning models using Python and industry-standard libraries
• Implement and optimize algorithms for classification, regression, and predictive analytics
• Apply strong knowledge of data structures to handle large-scale datasets efficiently
• Collaborate with cross-functional teams to translate business problems into ML solutions
• Continuously evaluate model performance and improve accuracy through tuning and experimentation
• Develop and deploy machine learning models using Python and industry-standard libraries
• Implement and optimize algorithms for classification, regression, and predictive analytics
• Apply strong knowledge of data structures to handle large-scale datasets efficiently
• Collaborate with cross-functional teams to translate business problems into ML solutions
• Continuously evaluate model performance and improve accuracy through tuning and experimentation
