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The SS&C team conducts descriptive research, medical chart review validations, and pragmatic research using the FDA Sentinel Common Data Model (SCDM), Sentinel and Distributed Research Network (DRN) tools, Observational Medical Outcomes Partnership (OMOP) CDM, Patient-Centered Outcomes Research Initiative (PCORI) CDM, and Aetna's Enterprise Data Warehouse (EDW.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business.
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Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS) and modern data warehouse tools (Snowflake, Databricks) Collaborates with Enterprise Data Strategy team peers including Governance Lead, Lead Data Scientist and Enterprise Data Platforms as well as Information Services Peers including but not limited to IS Strategic Partners, Information Security and the Enterprise Architect.
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The Data Scientist, Reporting and Advanced Analytics , works with the Hill Physicians team and its collaborating partners (physicians, epidemiologists, statisticians, health plans, and the data warehouse) to formulate and scope questions and translate knowledge into care transformation with data-driven decision making.
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2-5+ years of relevant experience as a Data Engineer, Data Scientist or Software Engineer with a focus on data products. As a Data Engineer at Bouldering Project, you will be responsible for building out a data warehouse from the ground up using a modern data stack.
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Have experience with Oracle suite of Cloud products and services including Oracle DB, Oracle Autonomous Data Warehouse (ADW), Oracle Analytics Cloud(OAC), and Oracle Data Science Services.
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60 months as a Data Consultant, Data Scientist, Analytics Consultant or Data Warehouse Specialist. Bachelor’s degree in Data Analytics, Analytics, Computer Science, Mathematics, Statistics, Economics, or biomedical informatics.
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Dans ce contexte, l’équipe est responsable de la chaîne d’intégration des données qui capture toutes les données provenant du front office, des systèmes de risque et de référentiel, transforme ces données et les capture dans le data warehouse.
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Lead Data Scientist. Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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The Senior Data Scientist at GTC will mine the data in the company's data warehouse to identify opportunities to leverage company data to drive optimization and improvement of decision-making and business strategies.
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5+ years of professional experience using advanced SQL in a cloud data warehouse environment, such as Snowflake, with large data sets. Are you a data-driven powerhouse with a passion for unlocking the true potential of Fintech products.
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Use machine learning, data mining, statistical techniques, and others to create actionable, meaningful, and scalable solutions to solve complex government challenges. Experience in querying and manipulating data for analysis — EDA, statistics, and visualizations.
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Assist in the creation of a modern data warehouse and design ELT workflows. A bachelor's degree in Data Science, Computer Science, Statistics, or a related STEM field. As the expert on all BP data, you will work closely with our Finance, Accounting, Marketing, and Growth teams to ask and answer complex questions about our business.
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Experience with data visualization tools. If you are curious and entrepreneurial and excited about an opportunity to lead greenfield data projects, we want to talk to you! - Experience with data warehousing and ETL processes.
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Hands-on experience in implementing Data Lake/Data Warehouse with technologies like – Databricks, Azure Synapse Analytics, SQL Database, AWS Lake formation. Design, Architect, Deploy, and maintain solutions on AWS and Databricks to provide secure and governed access to data for data scientist, data analysts and business users.
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