Company:
HS Solutions Inc
Location: Cleveland
Closing Date: 01/12/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Role: Sr Data Scientist
Location: Cleveland, OH – This position requires working onsite from client office
Duration : Contract
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
Proven experience 8 to 10 as a Machine Learning Engineer or similar role, with a strong track record of developing and deploying machine learning solutions in real-world applications in Azure environment
Proficiency in programming languages such as Python, R, or Java, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), Azure Client etc…
Experience in Clinical background
Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
Experience with data preprocessing, feature engineering, and dimensionality reduction techniques.
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Experience with Azure cloud platform and containerization technologies (e.g., Docker, Kubernetes) is a plus.
Familiarity with version control systems (e.g., Git) and agile
Location: Cleveland, OH – This position requires working onsite from client office
Duration : Contract
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
Proven experience 8 to 10 as a Machine Learning Engineer or similar role, with a strong track record of developing and deploying machine learning solutions in real-world applications in Azure environment
Proficiency in programming languages such as Python, R, or Java, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), Azure Client etc…
Experience in Clinical background
Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
Experience with data preprocessing, feature engineering, and dimensionality reduction techniques.
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Experience with Azure cloud platform and containerization technologies (e.g., Docker, Kubernetes) is a plus.
Familiarity with version control systems (e.g., Git) and agile
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