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Must have 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.
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Developing and deploying machine learning pipelines using Vertex AI and Kubeflow for data processing, feature engineering, model training, evaluation at scale in production on GCP ensuring data quality, integrity, and security.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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The Data Scientist is a technically excellent problem-solver responsible for providing in depth analysis across our diverse portfolio in addition to building and maintaining Machine Learning models on the Group Claims Data Platform.
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Data Analysis, Databricks Platform, Data Science, Machine Learning, Technical Solutions. Proven experience as a Data Scientist, with a focus on Azure Databricks.
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Knowledge working with relational databases and query authoring (SQL), and knowledge working with Python, R, or other machine learning platforms. The Co-Op Flight Safety Data Science responsibilities include providing support to the Flight Safety Data and Decision Science Team (DDS) along with the Aviation Safety Action Program (ASAP), Air Safety Investigation (ASI), and Flight Operational Quality Assurance (FOQA) programs.
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The School is a leader in 10 areas of specialization, including Advanced Manufacturing, Analytics & Machine Learning, Applied Probability and Simulation, Data Science and Statistics, Economic Decision Analysis, Energy and Sustainable Systems, Health and Humanitarian Systems, System Informatics and Control, Optimization, and Supply Chain Engineering.
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The Role As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Qualified candidates need to be passionate about the Machine Learning and Artificial Intelligence space, will excel in problem-solving and combine an advanced business or technical degree with consulting or product management experience and have a record of successful delivery of complex, multi-faceted projects.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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