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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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BHI’s data science team designs state of the art solutions through advanced methodologies, models, and measures. The Sr Data Scientist is responsible for participating in the full array of predictive modeling activities at BHI. Conduct quantitative analyses, author study reports, and create innovative analytic approaches.
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In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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The Senior Scientist, Life Science, and Research Analytics in the Real World Data Science org will leverage Tempus' multimodal database to deliver proof of concept studies and actionable findings with a strong commercial focus to internal and external stakeholders.
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Bachelor's or Master's degree in Computer Science, Data Engineering, related field, or equivalent experience. Data Warehousing: Implement and manage data warehousing and/or data lake solutions for efficient data storage and retrieval to support engineering, data science, applications, and groups across our organization.
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Center 1 (19052), United States of America, McLean, VirginiaManager, Ontology & Data ModelingThe role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.
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Tempus Biological Modeling is actively engaging with academic and industry partners in life science research, and we are seeking a Bioinformatics Scientist at Tempus to architect and implement on-premise and cloud-native data pipelines and infrastructure to enable analytics and machine learning on Tempus's rich clinical, molecular, and imaging datasets.
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Experience serving in a Data Engineer role, with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. Sogeti is looking for a talented, local MS Fabric (MSFT)-Databricks Data Engineer to join our Chicagoland team built on the success of our people and partnerships.
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8+ years’ progressive business experiences in marketing analytics, database marketing, data engineering and predictive modeling. Bachelor’s degree required in one of the following fields: Physics, Mathematics, Computer Science, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Finance, and/or Applied Mathematics.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML/ Azure AI Studio. In a team environment, impact $1M - $2.5M in sales revenue specific to AI/ML pursuits through translation of business objectives into data science/ machine learning use case (i.e., solutioning.
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Engineering, Data science or another quantitative field (i.e. mathematics, statistics, economics, etc.) Bachelor's degree preferably in Engineering, Data Science (Mathematics, Statistics or Economics.
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For instance, early morning/late evening hours to coordinate with teams in India Qualifications Bachelor's or Master's degree in Computer Science or related engineering field and deep experience with AWS infrastructure Strong experience in data engineering, specifically with AWS backend tech stack, including but not limited to S3, Redshift, Glue, Lambda, EMR, and Athena.
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Position Description :As the Facilities and Data Center Technician IV, you must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the facilities and data center electrical, mechanical, fire life safety systems, and communications infrastructure.
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Data Engineering Transformation Tools: Familiarity with data integration tools Cloud Composer (based on Apache Airflow) , Dataflow , CloudRun. Programming Languages/Infrastructure as Code/ Code Management : Strong knowledge of languages commonly used in data engineering, such as Python, SQL ,Terraform, CI/CD , Git flows, Attunity , AutoSys.
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data science jobs Title: data analyst science in Chicago, Ada-county, Idaho
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