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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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As an individual contributor, you will be responsible for ensuring the delivery continuity of existing solutions that incorporate data science and machine learning. The successful candidate will have a proven track record in data science and an in-depth understanding of machine-learning techniques.
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You will play an important role in building out the data science practice within the engineering group. In addition, this role will so have responsibility for helping to develop a more comprehensive and robust data science practice that can be applied to all areas.
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The Data Science Research Specialist will engage in biomedical research initiatives utilizing programming, data mining, statistical analysis, machine learning, and visualization strategies to develop, assess, and/or implement algorithms and software for data interpretation.
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We are comprised of the full-service media networks OMD, PHD, Hearts & Science, Touché, as well as Annalect (OMG’s data and analytics division) and a number of specialty media communications companies.
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PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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Utilizes Python and associated data science libraries (e.g., NumPy, Scikit-Learn, SciPy) and leverages deep learning frameworks (e.g., PyTorch and TensorFlow) for data science research.
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10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science. Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.
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Basic Qualifications: Data Center Engineer (T02): Bachelor of Science Degree in a STEM (Science, Technology, Engineering or Math) related field with 2 or more years of engineering experience or MS with 0 years or more year of engineering experience or Ph. D. with 0 or more years of engineering experience Active in scope DoD Top Secret Clearance Ability to obtain and maintain initial Special Program Access (SAP/PAR.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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4+ years of experience in a data engineer capacity such as data engineering, business intelligence (visualization/dashboard/reporting), data science, data analysis, business analysis, data governance, or similar roles.
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You must have a solid understanding of cloud data platforms and the data & analytics ecosystem, with hands-on experience across data engineering, data science and data visualization.
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Due to the unique complexities of the business such as technology and data security, it is time for a new partner with the appropriate expertise and resources to invest in the future growth of Kodiak.
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data science jobs Company: Ekidzcare in Columbia, Missouri
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