

The Brixton Group
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
Nothing Found.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 19, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Automation #Data Analysis #Python #Scala #Cloud #Classification #ML (Machine Learning) #SQL (Structured Query Language) #Data Science #Datasets #Data Pipeline #Forecasting #Anomaly Detection
Role description
Duration: 6+ months
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• U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor or transfer visas at this time.
•
•
•
•
•
• No Vendors/3rd parties.
•
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• We are seeking a Data Scientist / Machine Learning Engineer to design, build, and deploy scalable machine learning solutions that drive business insights and automation. This role partners with cross-functional teams to develop predictive models, optimize data pipelines, and deliver production-grade ML systems that support data-driven decision-making.
Requirements:
• 5+ years of machine learning model development using Python.
• Experience deploying machine learning models in cloud environments.
• Strong SQL skills for large-scale data analysis.
Key Responsibilities:
• Develop machine learning models for classification, forecasting, recommendation, or anomaly detection use cases.
• Build scalable data pipelines for feature engineering, model training, and inference workflows.
• Analyze structured and unstructured datasets to generate actionable business insights.
• Deploy, monitor, and optimize production machine learning services.
• Collaborate with engineering, analytics, and product teams on ML-driven initiatives.
26-00543
Duration: 6+ months
•
•
• U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor or transfer visas at this time.
•
•
•
•
•
• No Vendors/3rd parties.
•
•
• We are seeking a Data Scientist / Machine Learning Engineer to design, build, and deploy scalable machine learning solutions that drive business insights and automation. This role partners with cross-functional teams to develop predictive models, optimize data pipelines, and deliver production-grade ML systems that support data-driven decision-making.
Requirements:
• 5+ years of machine learning model development using Python.
• Experience deploying machine learning models in cloud environments.
• Strong SQL skills for large-scale data analysis.
Key Responsibilities:
• Develop machine learning models for classification, forecasting, recommendation, or anomaly detection use cases.
• Build scalable data pipelines for feature engineering, model training, and inference workflows.
• Analyze structured and unstructured datasets to generate actionable business insights.
• Deploy, monitor, and optimize production machine learning services.
• Collaborate with engineering, analytics, and product teams on ML-driven initiatives.
26-00543






