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Other duties as assignedEducation Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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The Data Engineering & Science Lead with a focus on data engineering and data science to optimize our property management and decision-making systems. Data Engineering and Science Lead.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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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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Bachelor's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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The DLDCCC is further supported by a broad array of shared resources including the Population Sciences Biorepository that provides biospecimen collection, processing, and storage coupled with clinical and risk factor data collection for a variety of cancers as part of our growing molecular epidemiology program and computational biology and bioinformatics.
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Bachelor’s Degree in Marine Science, Cartography, Geomatics, Geosciences, Engineering or related field. Interpret final hydrographic data sets at least to the QA/QC stages. We are seeking an experienced Lead Hydrographer to conduct field operations for hydrographic survey projects and perform marine survey data processing tasks both on board survey vessels and in the office.
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Patterson-UTI’s Data Science team is a growing group of energetic, passionate individuals working to improve and inform the Company through data. 5+ years of experience applying data science techniques to industrial applications (i.e. Oil and Gas, chemicals, manufacturing, etc.
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Qualifications:With a Ph. D. in Statistics, Computer Science, Science, or Engineering with significant experience in data science focused on problem solution over algorithm development, no work experience is required.
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The Data Scientist - Machine Learning at The Friedkin Group (TFG) will design, develop, implement, maintain, and improve advanced data science initiatives across business units, directly aligning with strategic objectives.
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MUST HAVE a Master's or PhD in Civil Engineering, Environmental Engineering, Chemical Engineering, Applied Physics or similar with emphasis on Fluid dynamics, Atmospheric Science or Environmental Science.
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions: internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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The VP, Data and Analytics has primary responsibility to lead the data strategy, execution and maintenance of our data platforms (structured and unstructured), reporting and analytics capabilities, data science and automation capabilities as well as partnering on the broader data governance mandates.
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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s). This center will focus on LSC-CyFair's Visual Communication and Information Technology workforce training programs with certificates and degrees in areas such as Cisco and Microsoft Networking, Cyber Security, Computer Forensics, Graphic and Web Design, and 3D animation.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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data science jobs Company: Cigna in Houston, TX
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