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Our team is looking for an outstanding leader with a talent for analytics, a strategic approach, and an orientation for action to join the InsurTech team as Principal Data Science, Analytics.
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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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This position will lead efforts to coordinate data science activities across NHLBI intramural and extramural divisions and the NHLBI Information Technology and Applications Center (ITAC) by working with senior staff leaders of these three NHLBI components to guide the development and execution of the Institute s strategic vision for data science.
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Under the direction of the Director, Federal Government Relations, the Government Relations Manager represents the American Heart Association before Congress, the Executive Branch, and coalition partners on a portfolio of legislative issues including preserving and expanding healthcare access through the Medicare, Medicaid, and Affordable Care Act programs; women and childrens health; cardiac rehabilitation; and peripheral artery disease.
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Technology Tools: AWS, Open Search and Python Data Science tools. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. With minimal supervision provide accurate, timely, complex and sophisticated data analysis in support of key Agency, US national security, and foreign policy objectives and to shape Intelligence Community (IC) analysis priorities.
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Monitor screening timeliness data for all screening tools (e.g. PHQ-9, ABI, KIPS, CCI, ASQ-3, ASQ-SE) and provide detailed reports to HFA and PAT Managers and DC Health staff. Degree in social science research/public health or evaluation field.
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At least 4 years (Bachelor of Science) or 2 years (Master of Science) of hands-on experience performing proteomics or metabolomics sample preparation, operating, and/or maintaining LC-MS/MS systems.
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Degree must be earned in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline.
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Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server. Experience working with data visualization tools such as Tableau, Looker, or PowerBI.
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Support Federal government clients in a broad array of data science efforts. Lead a team of 2-3 data analysts / data scientists. Working knowledge of data visualization tools such as Qlik and Tableau.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. Experience with advanced Python programming for data science and analytics.
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Bachelor's degree in data science, statistics, or a related field. Link data sets from program risk profiles, program baselines, financial and/or grants data, Capital Planning and Investment Control systems, internal review boards, USA Spending, US Census bureau surveys, internal survey data, and other data sets that need to be linked together.
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Mastery of health policy, economics, and political science literature relevant to Successful Aging; experience analyzing a range of health policy data sets; regular track record of publication in highest-level policy publications.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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data science jobs Title: data science lead Company: American Heart Association in Falls Church, VA
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