

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position for a 12-month contract, offering $75-$85/hr. Key skills include machine learning, Python, R, Azure, and SQL. Experience with Power BI, data integration, and DevOps practices is required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
680
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ποΈ - Date discovered
June 24, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New York, NY
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π§ - Skills detailed
#GIT #Databases #Azure DevOps #Data Modeling #Keras #NoSQL #R #Web Services #Graph Databases #Data Pipeline #ML (Machine Learning) #Batch #Python #Cloud #Agile #Azure #Microsoft Power BI #Azure cloud #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #TensorFlow #.Net #Azure Machine Learning #Data Integration #Data Science #SQL (Structured Query Language) #DevOps
Role description
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Data Scientist
12-Month Contract
$75-$85/hr
Are you a skilled Machine Learning Engineer with a passion for cutting-edge technologies? Join this innovative team where you can demonstrate your expertise in machine learning techniques, probabilistic reasoning, and optimization.
Key Responsibilities:
β’ Create interpretable models and implement advanced algorithms for production use.
β’ Demonstrate hands-on experience in supervised and unsupervised machine learning techniques.
β’ Exhibit strong skills in Python, R, Keras, TensorFlow, and .NET integration.
β’ Act as a key contributor throughout all phases of the design and development lifecycle for analytic applications, utilizing various technology platforms.
β’ Develop and implement analytic solutions on Amazon or Azure cloud platforms, working with a variety of databases including relational, in-memory, NoSQL, document, and graph databases.
β’ Utilize strong analytical skills to translate complex business requirements into effective architectural solutions.
β’ Design and implement data pipelines for both batch and real-time analytical model consumption.
β’ Demonstrate experience with APIs, web services, dimensional data modeling, and data transformation.
β’ Show proficiency in SQL with a broad understanding of language constructs.
Requirements:
β’ Familiarity with data integration, ETL, and ELT tools
β’ Experience with Power BI, particularly in integrating machine learning capabilities.
β’ Hands-on experience in Azure environments, including Azure Machine Learning.
β’ Understanding of DevOps practices, CI/CD processes, and agile methodologies, including tools like Git and Azure DevOps.