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The Lead Algorithm/Data Architect, Artificial Intelligence – (Remote Position) at Beckman Coulter Diagnostics is responsible for executing on an established visionary direction and serve a both as a leader and technical expert, capable of growing into the lead of our Hematology Program.
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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Knowledge of data mining and analytic programming tools and methods, including server reporting services (SAS, OLAP, SQL, Business Objects, Crystal, SPSS, Minitab, Tableau) Normally to be proficient in the competencies listed above, the Mental Health Parity Senior Data Reporting Analyst would have a bachelor’s degree in mathematics, actuarial science, statistics, computer science or related field and 7 years of related experience or equivalent combination of education and experience.
$85,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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1 year of working with Machine Learning esp. 5 years in at least one modern programming languages (Java, Python, JavaScript, ACE, IIB/ITX, Informatica preferred), and experience with at least two of the following: React, Angular v4+, NodeJS, NoSQL databases, HTML5, CSS, Google Cloud Platform or Amazon Web Services.
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In this role, you will collaborate with ML researchers, technical artists, and simulation engineers to build realistic, accurate, and detailed 3D models using machine learning from a variety of data sources.
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As a Senior Machine Learning Engineer, you should be proficient in Data Structures, Java, object-oriented principles, building distributed systems, containerization, orchestration, and cloud-native architectures, you will collaborate with cross-functional teams to build scalable, reliable, and production-ready solutions.
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Collaborate with cross-functional partners, including product managers, engineers, and data scientists, to identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, and drive engineering decisions while quantifying impact.
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We enable the Office of the CFO to connect to and make sense of their data in real time so they can proactively drive greater financial intelligence across their organization. Expertise in BI, Analytics and Data management space and experience with vendors like AWS, Google Cloud, Snowflake, Databricks, Power BI, Tableau, etc.
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Performing pat down searches, operating an x-ray machine, screening baggage, and reviewing tickets. At least one year of full-time work experience in security work, aviation screener work, or X-ray technician work.
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You’ll also craft data solutions in partnership with technical experts in analytics tagging and configuration, data engineering, and reporting, and data analysis to maximize data utility through our services and apps in Polaris, Wpromote’s marketing intelligence platform.
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Data staging areas, Cleansing and transformation mechanisms, Star/Snowflake schemas, Business Intelligence delivery mechanisms. Use tools in the cloud data warehouse development and deployment such as ETL tools, data quality and cleansing tools, query/reporting tools, OLAP, data mining, etc.
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Work From Home, Entry Level Data Entry Clerk As A Research Participant. Data entry skills. This is a remote work from home part time gig, you'll need a computer, laptop or mobile device.
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Includes but not limited to: circular saw, power drill, bench grinder, string trimmer, hedge trimmer, power floor cleaner, carpet cleaner, paint sprayer, power drain cleaner, chain saw, and key machine.
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