Senior Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a 5+ year background in data science and machine learning. It offers a remote position for candidates located in Illinois, requiring expertise in Python, MLOps, SQL, and cloud platforms.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 5, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Illinois, United States
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🧠 - Skills detailed
#Kubernetes #PyTorch #AWS (Amazon Web Services) #Computer Science #SageMaker #SQL (Structured Query Language) #Docker #Python #Data Science #Azure #ML (Machine Learning) #AWS SageMaker #NumPy #Cloud #Pandas #Data Manipulation #AI (Artificial Intelligence) #TensorFlow
Role description
Hi, Hope you are doing well, IMMEDIATE INTERVIEW :: Senior AI Engineers /Data Scientist – REMOTE BUT NEED LOCAL CANDIDATE FROM ILLINOIS Please find the Job details below and kindly revert if you’re interested in learning more about this job. Job Title: Senior AI Engineers /Data Scientist Location: REMOTE BUT NEED LOCAL CANDIDATE FROM ILLINOIS Job Description: Required Skills and Qualifications: β€’ Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field. β€’ 5+ years of professional experience in a role that combines data science, machine learning, and software engineering. β€’ Expert proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). β€’ Solid experience building and deploying machine learning models in a production environment. β€’ Strong understanding of MLOps principles and experience with tools like Docker, Kubernetes, and CI/CD pipelines. β€’ Proficiency in SQL for data manipulation and analysis. β€’ Experience with cloud platforms and their data/ML services (e.g., AWS Sagemaker, Azure ML, Google Cloud AI Platform). β€’ Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical audiences. A strong portfolio or track record of successfully deploying machine learning or AI models into a production setting