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JRAD is seeking a highly qualified Data Scientist to support health technology development initiatives for the Advanced Research Projects Agency for Health (ARPA-H).
Roles/Responsibilities:
This role requires extensive experience in data science or machine learning.
Key Responsibilities:
Program Analysis and Execution:
Project Management:
Oversight and Coordination:
Contract and Acquisition Support:
Technical Support and Communication:
Required Skills and Education:
Preferred Experience:
Security Clearance:
When you work for JRAD you will never be just a number. We put people before profits!
JRAD is committed to the health and well-being of its employees. We offer more paid time off than the average company upon hire and the following benefits are available to all full-time employees:
JRAD is an Equal Opportunity Employer/Veterans/Disabled.
PLEASE NOTE: Once you apply, to ensure you continue to receive important updates on your application and status, please add JRAD to your approved email list and/or check your spam and junk mail often for updates.
Full Time
Business Services
$108k-134k (estimate)
08/15/2024
10/13/2024
jpmoip.org
Stafford, VA
<25
Business Services
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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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