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Proficiency to manipulate data using R programming. The Clinical Data Scientist position interacts with many FDA stakeholders across several Offices and Centers specifically with clinical reviewers (Medical Officers) and statistical reviewers.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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MetaPhase supports the Chief Information Officer (CIO) and Chief Data Officer (CDO) at the National Science Foundation (NSF). This project supports the CIO/CDO through the implementation of data governance, data architecture & design, data quality initiatives, and community engagement programs through information sharing to harmonize the development of NSF’s data infrastructure.
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Experience working in the Virtual Research Data Center (VRDC) offered by CCW. ADVI Strategic Analytics and Value Economics (SAVES) is hiring for a full-time senior data scientist position.
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The SEC’s Division of Enforcement utilizes a variety of data that contain current, historical and futures information about sensitive public company data, mutual fund data, and trade/quote data.
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AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents) Data streaming systems: Storm, Spark-Streaming, etc. Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc.
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Expert-level skills in Python, SQL databases such as PostgreSQL, and big data technologies such as Databricks and Spark. Design, develop, and maintain data pipelines, infrastructure, and systems to support data products and solutions using technologies such as AWS, Python, Databricks, Spark, and SQL databases like PostgreSQL.
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Proficiency in data analysis tools (Python, R), machine learning frameworks (TensorFlow, PyTorch), and data visualization tools (Tableau, Power BI). Strong knowledge of healthcare data standards, terminologies (ICD-10, SNOMED), and electronic health records (EHR) systems.
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RRP maintains an integrated data warehouse that stores return data and taxpayer information for data mining, runtime scoring, scheme development and research. In depth knowledge of the PostgreSQL architecture and application data lifecycle management Experienced in PL/PGSQL, SQL code development, maintenance, and migration.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Serco is seeking a motivated Data Processing subject Matter Expert to join our talented and fast-paced Public Sector Solutions team in supporting CMS’ implementation of the Payment Error Rate Measurement (PERM) Program to produce national Medicaid and Children’s Health Insurance Program (CHIP) improper payment estimates as required by the Payment Integrity Information Act of 2019 (PIIA.
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The eDiscovery & Data Solutions Analyst is responsible for assisting with litigation automation, implementation of eDiscovery solutions, and providing support and administration of e-discovery and litigation support applications and systems as directed by the eDiscovery & Data Solutions Assistant Managers.
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In this position the Data Scientist is responsible for developing, planning, and executing basic and applied research in bioinformatics as applied to biodiversity genomics and conservation biology, and provide bioinformatics and computational expertise and training to the Center for Conservation Genomics (CCG)/National Zoological Conservation Biology Institution (NZCBI) scientists.
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data job Title: mail clerk Company: Robert Half Office Team in Silver Spring, MD
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