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Masters degree and 3 years of Machine Learning Engineer, Data Engineer, Software Engineer, or Data Scientist OR. High school diploma / GED and 12 years of Machine Learning Engineer, Data Engineer, Software Engineer, or Data Scientist.
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HEOR is responsible for providing a strong scientific perspective and contributing to HEOR study design and methodology, data analysis and aggregation, outcomes interpretation, and other activities across our research groups (strategic market access, modeling and meta-analysis, patient-centered outcomes, and real-world evidence), focusing primarily on strategic market access and modeling and meta-analysis.
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As Senior HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.
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OAG seeks a Data Scientist to support program research and analytics work to complement the core mission of the agency. Use their expertise with common statistical analytical tools such as Tableau and Power BI. Will need to use skills with common programming languages, data visualization software and mapping tools such as R and Python and Tableau in database languages such as SQL.Manipulate, manage queries, analyze, and summarize data from open source, law enforcement, District, and OAG data sources into cohesive reports in support of strategic initiatives, program evaluations and investigations.
$93,069 - $119,916Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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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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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry.
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Responsibilities include: Provide technical analysis to address questions that arise in the CWMD operations (non-proliferation, targeting, interdiction, strike, counter-air/space actions) arena of USAFE-AFAFRICA ability to survive and operate (ATSO), and CBRN defense technical domains.
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The Senior Federal Data Privacy Analyst supports privacy activities of the Office of Planning, Research, and Evaluation (OPRE) in the U.S. Department of Health and Human Services (HHS), Administration for Children and Families (ACF.
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Customizing and delivering sessions of Massage Envys stretch therapy service - Total Body Stretch , to promote members and guests flexibility, mobility, circulation, injury prevention, recovery and performance within scope of practice and licensing guidelines as applicable in our state, within Massage Envys policies and protocols.
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Data Scientist (SME) - TS/SCI with Polygraph Required. Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Human Resource Data Analyst II: The Human Resource (HR) Data Analyst will collect, compile, and analyze HR data, metrics, and statistics, and apply this data to make recommendations related to recruitment, retention, and legal compliance.
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Specifically, under the guidance of a supervisory investigator or an investigator, the incumbent will assist in collecting and/or assessment of information relevant to import injury proceedings, the resolution of which will, in most instances, have a significant impact on international trade in the subject merchandise, as well as the domestic industry producing those products.
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injury job Title: data scientist in Bethesda, MD
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