Human Performance Data Scientist I: Readiness Analytics

gdit

Fort Walton Beach (FL)

On-site

USD 73,000 - 99,000

Full time

11 days ago
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Benefits offered by this job

401K with company match
Health and wellness packages
Internal mobility and career growth
Paid education and certifications

Job summary

GDIT seeks a Data Scientist I to support mission-critical work on a dynamic program. You will perform basic data entry, cleaning, and performance analysis to improve readiness and resilience of SOF personnel in collaboration with program staff.

This role offers exposure to government systems, growth in statistics, data visualization, and collaboration with cross-functional teams across coaches, analysts, and clinicians.

Qualifications

  • Bachelor's degree in quantitative science, social science or related discipline.
  • Proficient with Word, Excel and Access.
  • Basic proficiency with SPSS, SAS, or R.
  • Strong communication, detail-oriented and organized.

Responsibilities

  • Enter, clean, and prepare HP data collected through program initiatives.
  • Build and maintain databases and spreadsheets capturing performance metrics, wellness indicators, and participation information.
  • Collaborate with coaches, dietitians, athletic trainers, psychologists, and other specialists to identify data collection opportunities.
  • Prepare basic reports and presentations communicating trends and readiness insights to program leadership.

Skills

Data Analysis
Data Analytics
Data Science
Data Visualization
Statistics

Education

Bachelor's degree in quantitative science or related discipline

Tools

Microsoft Office
Excel
Access
SPSS
SAS
R

Job description

GDIT seeks a Data Scientist I to support mission-critical work on a dynamic program. You will perform basic data entry, cleaning, and performance analysis to improve readiness and resilience of SOF personnel in collaboration with program staff.

This role offers exposure to government systems, growth in statistics, data visualization, and collaboration with cross-functional teams across coaches, analysts, and clinicians.

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