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Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.
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The ERSEA/DATA Specialist, in collaboration with Early Education Site Directors and under the guidance of the Head Start/Early Head Start Director is responsible for the development and implementation of all ERSEA requirements as outlined in the Head Start Program Performance Standards.
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Ph. D. in Psychology, Computational Social Science, Economics, Data Science or a related field by the start date. The School categorizes this research into five program areas: Cognition and Brain Science, Cognitive Aging, Engineering Psychology, Industrial/Organizational psychology, and Quantitative Psychology.
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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commensurate experience such as Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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At least 7+ years of experience in database administration, business intelligence, and data science, Google BigQuery, BI tools, ETL tools, and database schemas. Design and maintain robust database solutions for PostgreSQL and Google BigQuery environments, ensuring data availability and system resilience.
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Create data science assets and automations using a combination of tools and languages including SQL, Python, R, Alteryx, Tableau, Microsoft Azure (Fabric, ML Studio, ADF, Synapse, PowerBI, etc.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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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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Design and implement data science projects, including predictive modeling, machine learning, and statistical analysis, to optimize operations and support strategies. Mediavine is seeking a dynamic and experienced Data Science & Analytics Manager to join our growing team.
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Providing administration support for Informatica EDC/Axon, CGDC, Metadata Command Center, Data Quality and Cloud Data Quality which includes installation, configuration, upgrades, and business continuity support.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Operating knowledge of multiple target industries, (ideally manufacturing, consumer packaged goods, high tech, energy, telecom, financial services, or life science) is a plus.
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The Operations Management team handles requests for new or changed access to services, chargeback reporting, contract administration, market data invoice processing and general inquiry handling for index and market data services.
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data science big jobs Company: Ciyis in Atlanta, AR, Germany
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