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Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist / AWS Engineer with 12+ years of experience, located in Eagan, MN (Hybrid). Contract position offers a pay rate of "unknown". Key skills include Statistics, Machine Learning, Azure Open AI Service, PyTorch, and TensorFlow.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 8, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Eagan, MN
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #PyTorch #TensorFlow #Deployment #Cloud #Statistics #SQL (Structured Query Language) #R #Monitoring #Airflow #Python #ML (Machine Learning) #Datasets #"ETL (Extract #Transform #Load)" #Data Pipeline #Data Access #AWS Machine Learning #Azure #Data Analysis #Data Science #Knowledge Graph #NLP (Natural Language Processing) #AI (Artificial Intelligence) #Scala #Model Deployment #OpenCV (Open Source Computer Vision Library) #Deep Learning
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Lorven Technologies, Inc., is seeking the following. Apply via Dice today!
Hi,
Our client is looking Data Scientist / AWS Engineer For a Contract Position role Eagan, MN below is the detailed requirements.
Kindly share your Updated Resume to proceed further.
Position: Data Scientist / AWS Engineer
Location: Eagan, MN (Hybrid)
Job Mode: Contract
Job Description:
We are seeking an experienced Data Scientist with 12+ years of experience to join our dynamic team.
The ideal candidate will have a strong background in Statistics, Machine Learning, and Artificial Intelligence, with expertise in tools such as Azure Open AI Service, PyTorch, and TensorFlow.
This role involves working in a hybrid model with a focus on developing innovative solutions that drive business success and societal impact. Experience : 6 - 8 years 4. Required Skills : T
Technical Skills:
Data Science, SQL Developer, AWS Machine Learning
Responsibilities:
• Lead the development and implementation of machine learning models to solve complex business problems and enhance decision-making processes.
• Oversee the application of statistical techniques and exploratory data analysis to extract meaningful insights from large datasets.
• Provide expertise in Azure Open AI Service and Cloud AutoML to optimize and automate data-driven processes.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Utilize Airflow for orchestrating complex data workflows and ensuring seamless data pipeline operations. Develop and maintain knowledge graphs to improve data accessibility and enhance search engine optimization. Implement MLOps practices to streamline the deployment and monitoring of machine learning models in production.
• Apply deep learning techniques using PyTorch and TensorFlow to advance the company's AI capabilities.
• Conduct natural language processing and dialogflow projects to enhance customer interactions and service delivery.
• Use OpenCV for computer vision tasks that contribute to innovative product development.
• Engage in continuous learning and application of the latest advancements in artificial intelligence and machine learning. Ensure the ethical use of AI technologies and contribute to the companys commitment to responsible AI practices. Drive the adoption of AI and machine learning across the organization to foster a culture of innovation.
• Collaborate with stakeholders to identify opportunities for AI-driven improvements and efficiencies.
Qualifications
• Possess a strong foundation in Statistics and experience with R Statistical Package and Python.
• Demonstrate proficiency in Azure Open AI Service and Cloud AutoML for scalable AI solutions.
• Exhibit expertise in machine learning frameworks such as PyTorch and TensorFlow.
• Have experience with natural language processing and Dialogflow for enhanced communication systems.
• Show capability in using OpenCV for computer vision applications.
• Understand the principles of MLOps for effective model deployment and management.
• Be knowledgeable in search engine optimization techniques to improve data discoverability.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Lorven Technologies, Inc., is seeking the following. Apply via Dice today!
Hi,
Our client is looking Data Scientist / AWS Engineer For a Contract Position role Eagan, MN below is the detailed requirements.
Kindly share your Updated Resume to proceed further.
Position: Data Scientist / AWS Engineer
Location: Eagan, MN (Hybrid)
Job Mode: Contract
Job Description:
We are seeking an experienced Data Scientist with 12+ years of experience to join our dynamic team.
The ideal candidate will have a strong background in Statistics, Machine Learning, and Artificial Intelligence, with expertise in tools such as Azure Open AI Service, PyTorch, and TensorFlow.
This role involves working in a hybrid model with a focus on developing innovative solutions that drive business success and societal impact. Experience : 6 - 8 years 4. Required Skills : T
Technical Skills:
Data Science, SQL Developer, AWS Machine Learning
Responsibilities:
• Lead the development and implementation of machine learning models to solve complex business problems and enhance decision-making processes.
• Oversee the application of statistical techniques and exploratory data analysis to extract meaningful insights from large datasets.
• Provide expertise in Azure Open AI Service and Cloud AutoML to optimize and automate data-driven processes.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Utilize Airflow for orchestrating complex data workflows and ensuring seamless data pipeline operations. Develop and maintain knowledge graphs to improve data accessibility and enhance search engine optimization. Implement MLOps practices to streamline the deployment and monitoring of machine learning models in production.
• Apply deep learning techniques using PyTorch and TensorFlow to advance the company's AI capabilities.
• Conduct natural language processing and dialogflow projects to enhance customer interactions and service delivery.
• Use OpenCV for computer vision tasks that contribute to innovative product development.
• Engage in continuous learning and application of the latest advancements in artificial intelligence and machine learning. Ensure the ethical use of AI technologies and contribute to the companys commitment to responsible AI practices. Drive the adoption of AI and machine learning across the organization to foster a culture of innovation.
• Collaborate with stakeholders to identify opportunities for AI-driven improvements and efficiencies.
Qualifications
• Possess a strong foundation in Statistics and experience with R Statistical Package and Python.
• Demonstrate proficiency in Azure Open AI Service and Cloud AutoML for scalable AI solutions.
• Exhibit expertise in machine learning frameworks such as PyTorch and TensorFlow.
• Have experience with natural language processing and Dialogflow for enhanced communication systems.
• Show capability in using OpenCV for computer vision applications.
• Understand the principles of MLOps for effective model deployment and management.
• Be knowledgeable in search engine optimization techniques to improve data discoverability.