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The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way. " Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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Educate relevant stakeholders in the theoretical and empirical bases of data science and behavioral science related to the deterrence, detection and mitigation of potential threats by providing or contributing to expert training briefs, presentations and educational courses.
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The Data Coordinator is responsible for Student Information System (SIS), CALPADS and attendance related tasks, including creating reports and maintaining student data for Charter Impact clients.
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Use Azure services and frameworks to produce cleansed and enhanced datasets for analysis Skills: Microsoft Azure, Azure Databricks, and DBTKnowledge of data catalog tools (, Microsoft Purview)Proficiency in data processing languages, including SQL and PythonExcellent problem-solving skills and ability to work in a collaborative environment Education: Bachelor’s degree in Computer Science, Engineering, or related field.
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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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Knowledge or experience in designing and deploying data processing systems with one or more of the technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik or Other.
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You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus. You will continue to stay up to date on the latest relevant scientific literature and translate your learnings into evolving best practices in data science at Genmab.
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Working knowledge of unity catalog and data governance principles. 4-6 years of hands-on data engineering experience. Experience with ingesting various source data formats such as JASON, Parquet, Sequencefile, Cloud databases, MQ, Relational databases such as Oracle.
$83.33 - $93.33 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Working knowledge of pharmaceutical industry data sources (e.g., IQVIA/ICON/Veeva Compass, BioMed Tracker, Analysource). Partner with IT and other functions to design and operate the customer master data management process, including business rule definitions and process flows to ensure data integrity and quality.
$114,000 - $131,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Interface with internal data center operations team, data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Utilize BigQuery for data warehousing and analysis, and Pub/Sub for real-time messaging. Our client is looking for a Cloud Data Engineer with a deep understanding of GCP cloud infrastructure, automation principles, and a security-first mindset.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.
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Demonstrated experience designing and deploying various analytical data modeling methodologies (e.g., Star, Snowflake, Kimball, Inmon, Data Vault 2.0) Knowledge of data architecture, data engineering, and ETL principles.
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data job Title: science Company: Booz Allen Hamilton
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