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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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As part of the Data Science and Analytics Team, the Sr. Data engineer will partner with Data Scientists, work hands-on with Big Data technologies and build scalable data pipelines/infrastructure to support development of health care propensity models.
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You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture.
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The Business Intelligence Engineer 2 work assignments involve moderately complex tasks which include managing workflows, analyzing large data sets, and creating automation process flows.
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The Principal Architect provides the global vision, rationale, and recommendations to leadership teams for challenging technical issues related to data center architectural design, while working on continually improvement of data center designs.
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Qualifications: Experience: Master’s degree in analytics or computer science with 4+ years of experience developing and deploying machine learning models is required Experience with Big Data environments (very large 1st party data integrating multiple internal and external disjointed data) Experience in model metrics monitoring, orchestrating ML workflows using pipelines, version control, model drift management.
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Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. Job Summary:As a Vice President, Client, Finance & Strategy Data Scientist Lead in our Data & Analytics team, you will be an team member contributor working closely with Finance, Strategy and Leadership Team. You will address key strategic issues requiring advanced analytics and a big data-promote approach.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience coding with R, SQL, STATA, SPSS or equivalent.
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Demonstrated experience in many technologies such as Kofax, IBM DataCap, MongoDB, Dataverse Data analytics tools (Tableau, PowerBI), Oracle WebLogic, J2EE, Spring/Hibernate, Angular, and SharePoint development.
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The Hartford is seeking a Senior Machine learning Engineer within Actuarial to design, develop, and implement modern and sustainable MLOps framework to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
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Experienced at maintaining enterprise hardware and software Configuration Items (CI's)ensuring data integrity, and tracking assets within a ServiceNow Configuration Management Database (CMDB.
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As a part of Johnson Controls’ Data Center Solutions business unit, Silent-Aire is on the forefront in the creation of new and exciting products to support the data center industry. We are a diverse, upbeat, creative, team-oriented group of technicians, engineers and managers working on a daily basis to develop data center cooling equipment that is changing the face of the data center facility.
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Whether it's providing products for a wind farm, data center or automotive manufacturing production line, Anixter brings this vast experience and expertise to every customer. Our teams are made up of people who care about continuous improvement, not big egos.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with logical and physical data modeling.
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machine artificial intelligence big data jobs Title: data engineer in Ohio, OH
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