Overview:
Odyssey Systems has an exciting opportunity for a Sr. Data Scientist, supporting the 711th Human Performance Wing (711 HPW), headquartered at Wright-Patterson Air Force Base. It is the first human-centric warfare wing to consolidate human performance research, education and consultation under a single organization. This role is fully remote.
***Contingent upon contract award***
Responsibilities:
-Design data modeling processes to create algorithms and predictive models and perform custom analysis and identify trends in data sets.
-Manipulate large clinical and operational data sets and use them to identify trends and reach meaningful conclusions based on research protocols.
-Clean, aggregate, process, and organize data from disparate sources and transfer it to data warehouses while verifying the integrity of the data for analysis.
-Utilize new techniques, innovations, and technical and scientific advancements as indicated to serve as a means of overcoming aeromedical operational issues.
-Draft and/or edit study protocols, proposals, scientific abstracts, manuscripts, slide presentations, and posters as required.
-Collaborate with professional colleagues, academic partners, medical professionals and government officials to achieve research goals.
-Organize review of relevant scientific literature and attend meetings, as required, with government organizations, academia, and meetings with other experts in their field.
***Contingent upon contract award***
Qualifications:
Minimum Required Qualifications
Citizenship: Must be a US citizen.
Clearance: Ability to Obtain NACI.
Education: Master's Degree in Data Science or related field, with extensive coursework in computer science, data science, data analytics, data engineering, data architecture, mathematics,
probability, statistics, or mathematical logic.
Years of Experience: At least 5 years of experience in their field. Experience can be substituted with a PhD in Computer Science, Computational Geometry, or Data Science.
Certifications: NA
Other requirements:
-Demonstrated understanding of Topological Data Analysis, Machine Learning techniques
and algorithms as well as common data science toolkits and proficiency in using query languages
such as SQL and ORACLE.
-Demonstrated expert knowledge in operations research and rigorous methods of scientific
inquiry and analysis to include statistical analysis, machine learning, computer science,
programming, and data storytelling.
-Be professional, detail oriented, possess excellent communication skills, and speak English fluently.
-Have the ability to thrive in a team environment, yet able to complete assigned tasks
independently or with minimal guidance from team leads.
-Possess the following: Organizational skills; the ability to achieve set goals; initiative in performing assigned tasks; ability to follow-up complex projects with influence, and integrity; and ability to interact professionally with all levels of personnel within and outside of the organization.
-Be willing to signed Non-Disclosure Agreement (NDA) in place with their company based on the
potential access to confidential, proprietary, and/or sensitive information. The NDA shall be
provided to the Government Program Manager by start of performance.
Preferred Qualifications
Experience:
-Have experience presenting research at scientific meetings and published in peer
reviewed journals in Computational Geometry, Topological Data Analysis or Computational
Topology.
- Prior military experience, or previous experience working in a military research
environment.
Additional Information
Location: Remote, supporting the 711 HPW, Wright Patterson AFB, OH
Travel: Possible
Remote, Onsite, or Hybrid: Remote
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***Contingent upon contract award***
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