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Assistant / Associate Professor, Jefferson College of Population Health, Thomas Jefferson University
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We conduct research, provide consulting, and offer masters and doctoral degree programs in applied health economics and outcomes research, health data science, health policy, healthcare quality and safety, operational excellence, population health, and public health (see our Degree Programs page for more information.
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2+ years of industry experience in Data Science/Machine Learning as a data scientist/technical lead developing ML models with a business impact. Computer Science Degree: Statistics, Informatics, or another quantitative field.
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This role requires a deep understanding of compensation practices, benefits administration, and HR analytics to attract, motivate, and retain top talent. The Southeastern Pennsylvania Transportation Authority (SEPTA) is the sixth largest transportation system in the United States, with a vast network of fixed route services including bus, subway/elevated, trackless trolley, light rail, and commuter rail serving a 2,200 square mile service region.
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Working knowledge of Machine and Deep learning-based client projects, MVPs, and POCs. Should have expert level experience with machine learning frameworks like scikit-learn, TensorFlow, keras and deeplearning architectures like RNNs and LSTM. Should have worked with cognitive services from major cloud platforms like AWS (Textract, Comprehend) or Azure cognitive services etc.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), enterprise and mobile applications, databases, web and cloud services, operating systems, software user interfaces, open source, 3D graphics, grid computing, networking, telecommunications, network protocols, IEEE standards, network security, etc.
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Our Data Science group is a diverse group that uses a wide range of AI, machine learning, and statistical methods, with an emphasis on applied data science driven by user problems and product & commercial priorities.
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If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Engineer role at Canonical.
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Accounting, Management Information Systems, Statistics, Mathematics, Analytics, Computer Programming, Computer and Information Science, Business Administration/Management. Demonstrating knowledge of descriptive analytics, predictive analytics, machine learning principles, Artificial Intelligence (AI), robotic process automation (RPA), project management, software and solution implementation methodologies.
$40.75 an hourFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Bachelor's degree in computer science, or related field and 5+ years of experience with a proven experience in ETL testing. Education: Bachelor's degree in computer science, or related field and 5+ years of experience with a proven experience in ETL testing.
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Experience using cloud-based services and resources (e.g., AWS, Azure, Google cloud) and distributed data and computing tools: Snowflake, Data Bricks, Spark, Map/Reduce, Hadoop, Hive, MySQL, etc.
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Design and deploy data solutions using cloud-native services, such as Azure SQL Database, to support advanced analytics, machine learning, and data visualization initiatives. Bachelors Degree in Computer Science, Information Systems or related field.
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Temple Health is a dynamic network of outstanding hospitals, specialty centers, and physician practices that is advancing the fight against disease, pushing the boundaries of medical science, and educating future healthcare professionals.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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6+ years of experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects Preferred. MS/MA or PhD preferred in Informatics, Epidemiology, Analytics, Data Science, Statistics, Mathematics, Computer Science, Economics or a related field Preferred.
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computer science deep learning applied cloud computing jobs Title: applied researcher in Philadelphia, PA
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