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Versed in TensorFlow, PyTorch, scikit-learn, and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data sciences.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Support the Global QMS -DMS Team with development and maintenance of existing reporting and monitoring tools (dashboards, databases, and KPI’s) leveraging Microsoft Power BI and Excel. The Global Quality Systems Data Scientist Specialist will support initiatives for the global QMS-DMS team at Global level in the implementation of new advanced digital technologies enabling more efficient and effective ways of working as well as increasing automation and simplification of quality related activities.
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Knowledge of data science (e.g. Machine learning), analytics platform (e.g. Alteryx) and data visualization tool (e.g. Tableau) will be advantageous JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.
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Knowledge of data science (e.g. Machine learning), analytics platform (e.g. Alteryx) and data visualization tool (e.g. Tableau) will be advantageous. With core valuation processes largely delivered through dedicated technology and quantitative research resources, the team focusses on insightful analysis leveraging multiple market data sources through advanced analytics platforms.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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The University of Texas MD Anderson Cancer Center has the potential to unlock the power of data by further developing and investing in talent, team science and infrastructure to optimize multidimensional data integration, analysis and application for the benefit of patients with cancer.
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Proficiency in MS apps (Power BI, Sway, Stream, Power/Flow, Fluid, Whiteboard, Teams, Visio), Matlab, VBA, Python, data science tools. Maintain counterparty ratings and reference data accurately and timely.
$70 - $80.62 an hourExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Manage internal and external relationships for CSE, Data Science, and Artificial Intelligence-related research topics. Be accountable for the operation of the Houston HPC Center consisting of two HPC machines (1 petaflop power) and ancillaries used by about 100 users in the US and Europe.
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Knowledge of statistical and data analysis tools and software, such as Stata, Python, R, SQL, and/or data visualization tools such as Tableau, Power BI, etc. Knowledge of statistical and data analysis tools and software, such as Stata, Python, R, SQL, and/or data visualization tools such as Tableau, Power BI, etc., preferred.
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Management Controls, Inc. (MCi) seeks a high-impact Senior Power BI Administrator to join our Data Science team. We are looking for an experienced Senior Power BI Administrator to lead the design, development, and implementation of business intelligence solutions using Microsoft Power BI. The ideal candidate will possess a deep understanding of Power BI Architecture, data visualization principles, strong analytical skills, and extensive experience in manipulating and transforming complex datasets.
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Experience with the implementation of Energy Trading & Risk Management (ETRM) systems for natural gas & power trading. We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering.
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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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Together, we cultivate a culture of design excellence at the confluence of art and science, blending the power of creative expression with a clear sense of purpose. Skills to tailor or develop reports and dashboards to specific needs, including visuals, themes, and interactivity to create visually appealing data presentations in Power BI is a plus.
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Knowledge and ability to run queries against data using SQL and Power BI (or similar tools) Bachelor's Degree, or preferably Master's Degree, in engineering, environmental sciences or environmental engineering, computer science or related fields with a focus on climate change and air emissions.
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