Company:
Fidelity Partners
Location: Dayton
Closing Date: 11/08/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Data Scientist
Location (100% Remote)
Internal Medicine Branch
Aerospace Medicine Consultation Division
U.S. School of Aerospace Medicine
Citizenship: U.S. Citizenship Required
Clearance Requirements: Tier 1 Background Investigation - National Agency Check with Law and Credit Check and fingerprints. (Standard Form 85).
Type of Employment: 40 hours per week.
Period of Performance: 30 September 2024 31 May 2027
Estimated Pay: $70,000 to $80,000 per year Based on Experience and meeting the mandatory qualifications.
Working Hours
Work will be scheduled normally from 7:30 a.m. to 4:30 p.m., Monday through Friday, however, there may be times when it is necessary for the employees to work after duty hours or weekends in support of specific tasking. Although schedule may have to be flexible, it will not exceed 40 hours per week. Temporary alternate work locations may be assigned.
Mandatory Qualifications
Process a masters degree in data science or related fields
Examples: Computer Science or Mathematics
At least 2 years of experience in their field.
Experience can be substituted with a PhD in Computer Science, Computational Geometry, or Data Science.
Demonstrated experience of application of machine learning algorithm methods on a variety of data types and sources.
Demonstrated experience of application of Topological Data Analysis methods on a variety of data types and source.
Demonstrated proficiency in the Python programing language.
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.
Highly Desired Qualifications
Experience presenting research at scientific meetings and published in peer reviewed journals in Computational Geometry, Topological Data Analysis or Computational Topology.
Publications relating to the subject of Topological Data Analysis.
Knowledge and application of the Topological Hierarchical Decomposition algorithm.
Prior military experience, or previous experience working in a military research environment.
Duties/Responsibilities:
Design data modeling processes to create algorithms and predictive models and perform custom analysis and Identify trends in data sets.
Manipulate large 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.
Provide expertise concerning the validity of assumptions made and the criteria by which alternatives are recommended, as well as advise and recommend new techniques, innovations, and technical and scientific advancements which may 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. Interact professionally with all levels of personnel within and outside of the organization.
Organize review of relevant scientific literature and attend meetings, as required, with government organizations, academia, and meetings wit
COMPENSATION AND BENEFITS:
Competitive Compensation package
Comprehensive benefits including medical, dental and vision options.
Outstanding career growth potential.
ABOUT US:
Fidelity Partners is a Inc. 5000, USA company that provides medical, technical, logistical, and administrative services to the federal government and commercial Clients across the country. Fidelity offers competitive salaries and benefits packages.
Qualified applicants are encouraged to learn more about us at or or call us at (phone number removed) or apply at
Fidelity Partners provides equal employment without regard to race, color, religion, sex, national origin, age, disability, or in accordance with applicable federal state, and local laws (EoE).
Location (100% Remote)
Internal Medicine Branch
Aerospace Medicine Consultation Division
U.S. School of Aerospace Medicine
Citizenship: U.S. Citizenship Required
Clearance Requirements: Tier 1 Background Investigation - National Agency Check with Law and Credit Check and fingerprints. (Standard Form 85).
Type of Employment: 40 hours per week.
Period of Performance: 30 September 2024 31 May 2027
Estimated Pay: $70,000 to $80,000 per year Based on Experience and meeting the mandatory qualifications.
Working Hours
Work will be scheduled normally from 7:30 a.m. to 4:30 p.m., Monday through Friday, however, there may be times when it is necessary for the employees to work after duty hours or weekends in support of specific tasking. Although schedule may have to be flexible, it will not exceed 40 hours per week. Temporary alternate work locations may be assigned.
Mandatory Qualifications
Process a masters degree in data science or related fields
Examples: Computer Science or Mathematics
At least 2 years of experience in their field.
Experience can be substituted with a PhD in Computer Science, Computational Geometry, or Data Science.
Demonstrated experience of application of machine learning algorithm methods on a variety of data types and sources.
Demonstrated experience of application of Topological Data Analysis methods on a variety of data types and source.
Demonstrated proficiency in the Python programing language.
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.
Highly Desired Qualifications
Experience presenting research at scientific meetings and published in peer reviewed journals in Computational Geometry, Topological Data Analysis or Computational Topology.
Publications relating to the subject of Topological Data Analysis.
Knowledge and application of the Topological Hierarchical Decomposition algorithm.
Prior military experience, or previous experience working in a military research environment.
Duties/Responsibilities:
Design data modeling processes to create algorithms and predictive models and perform custom analysis and Identify trends in data sets.
Manipulate large 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.
Provide expertise concerning the validity of assumptions made and the criteria by which alternatives are recommended, as well as advise and recommend new techniques, innovations, and technical and scientific advancements which may 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. Interact professionally with all levels of personnel within and outside of the organization.
Organize review of relevant scientific literature and attend meetings, as required, with government organizations, academia, and meetings wit
COMPENSATION AND BENEFITS:
Competitive Compensation package
Comprehensive benefits including medical, dental and vision options.
Outstanding career growth potential.
ABOUT US:
Fidelity Partners is a Inc. 5000, USA company that provides medical, technical, logistical, and administrative services to the federal government and commercial Clients across the country. Fidelity offers competitive salaries and benefits packages.
Qualified applicants are encouraged to learn more about us at or or call us at (phone number removed) or apply at
Fidelity Partners provides equal employment without regard to race, color, religion, sex, national origin, age, disability, or in accordance with applicable federal state, and local laws (EoE).
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