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Alternatively, the employer will accept a master’s degree, or its foreign equivalent, in Computer Information Systems, Information Systems, Computer Applications, Computer Science, IT, Analytics, Computer Engineering, or a related engineering/computer/analytical field plus 5 years of professional experience as a Systems Engineer/Developer, Business Intelligence Analyst/Developer, in the job offered, or in other positions involving business intelligence.
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As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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As a Signal Processing Engineer at WHOOP, you will be part of a cross-functional team comprised of DSP, Soft Goods, WHOOP Labs, Firmware, and Data Science. Create and implement mathematical models and machine learning algorithms for processing big data and extracting valuable insights.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Digital Marketing, Technology, Consumer Electronics, Media & Entertainment, Streaming Media, Entertainment, Electronics, Digital Advertising, Broadcasting, Internet Software & Services.
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Proficiency in Python for data science and image processing (e.g., TensorFlow, PyTorch, scikit-image, OpenCV, pandas). A bachelor's degree in a quantitative field (e.g., computer science, biostatistics, electrical engineering, bioengineering, computational biology, or related area) or equivalent experience.
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Preferred Area of Experience: Microsoft 365, Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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Alternatively, the employer will accept a Master’s degree in Finance, Computer Science, Engineering Management, or other related field plus three (3) years of experience in the job offered or three (3) years as a Senior Application Support Engineer, Data Analyst, or a related occupation.
$169,104 - $199,104 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques.
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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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GMO’s Investment Data Solutions (IDS) Team consists of over 35 technology and data engineering professionals who partner closely with GMO’s investment managers and research teams to provide structured and unstructured market data, data engineering and analysis, quantitative application development, operations, and support in all areas of the research and investment process.
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Snyk is a developer-first application security company and the role of the VP, Engineering Developer Experience is to make sure that we succeed in driving transformation in our customers' organizations by winning the hearts and minds of developers.
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The ETL Developer is a key member of CHIAs software development organization and our Data Operations and Technology team reporting to the Associate Director of Master Data Management and ETL Design.
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The Enterprise Data Engineering Team is responsible for the development and support of GMO’s critical data processing and warehousing applications. Support the production processing of data within the Enterprise data ecosystem.
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4+ years hands-on data engineering software. A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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As a Senior Site Reliability Engineer you will own multiple foundational Klaviyo services and make a big impact on the productivity of our product engineering teams. Internally, we call this role Senior Site Reliability Engineer on the Security SRE team.
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software engineering developer engineer data processing jobs Title: engineer Company: Nisus Technologies Corporation in Waltham, MA
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