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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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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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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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Minimum of 10 years of experience in supply chain and operations data as well as information systems such as: supply chain planning systems, automation systems, MES/DCS, machine sensorization, predictive maintenance, line scheduling, OEE or equivalent metrics, quality processes, yield optimization, etc.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
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We are looking for a Senior Data Scientist, ideally with a background in demand forecasting and time-series, to join our Data Science team within our Data and Analytics CoE. As a data scientist within the CoE, your mission will be to develop world-class AI, data science, machine learning, and related solutions to solve for our biggest challenges.
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Areas of interest include artificial intelligence and machine learning, imaging, data science, and omics-based technologies. This position offers a unique opportunity to lead cutting-edge research, with the potential to impact one or more areas of biomedical science.
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3-5 years of experience in data science, machine learning, or related fields. The Strategic Data Science Lead will be responsible for driving innovative initiatives and strategic planning for the organization through data-driven approaches and the application of data science methodologies.
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Job Description :JOB SUMMARYThis position supervises and participates in the development of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science and machine learning practices.
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Prior background and hands on experience in data science, machine learning, generative AI is a prerequisite. Bachelor's degree in computer science / data science / information systems.
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To Qualify: Ideal candidates are current students pursuing or recent graduates of a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related fields with a focus on AI technologies.
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Bachelor's degree in Statistics, Mathematics, Data Science, or a related field; advanced degrees preferred. They must have strong experience using a variety of data analysis methods and data science libraries to build and implement new models.
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Analyze key performance indicators and interpret historical data systems' performance to identify, recommend, and implement design changes and modifications that reduce life-cycle costs, improve machine productivity, and/or enhance safety of personnel or the environment.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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