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When not working on machine learning models, Identify data; define metrics and analyze needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
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The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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Experience with Business Intelligence analysis and presentation tools, including Tableau and Power BI preferred. The ability to effectively mine data and draw relevant results on business performance.
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The ideal candidate will be skilled in statistical analysis, machine learning, and leveraging Azure technologies in big data to drive significant business impact. Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely.
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Commitment to staying updated with industry best practices and new technologies in business intelligence and data analytics. Seeking a Senior Risk Management Analyst (Remote) for a 12-month role to lead and support risk management initiatives within Nasdaq's Investment Intelligence division.
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Own the Business Intelligence tool rollout, reporting hierarchy, data definition library and supporting each line of business with their data and dashboard needs. The Business Insights Manager will collaborate closely with our CFO and other business leaders and will be a service provider for the entire organization in relation to the business intelligence tools (Omni) and reporting requests.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Our transformative solutions are powered by artificial intelligence, machine learning, learn from new insights, and seize new opportunities.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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JDE Jr. Business Analyst - Finance Company Overview : Access to clean water is critical to sustain life. Job Overview : As a Junior Financial Cost Analyst, you will collaborate closely with the E1 Application Manager and Mueller Finance Team to ensure the effective development and functionality of applications.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Experience developing solutions in at least 4 of the following technology areas:Microsoft Azure (Preferred) Microservices and Containers DevSecOps Data Analytics ML/AI (Machine Learning / Artificial Intelligence) Data Center Operations.
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Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology. We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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