Data Scientist
ASRC Federal•Oklahoma City, OK
•Onsite
About The Position
ASRC Federal Advanced Research supports the Federal Aviation Administration (FAA) National Airspace System (NAS) Second Level Engineering Support (SLES) contract. We are seeking a highly motivated Data Scientist to support the Weather Systems Group. This role contributes to the design, integration, and sustainment of mission-critical aviation weather systems supporting real-time operations across the NAS.
Requirements
- US Citizenship or Permanent Residency required.
- All applicants must have resided in the United States for the past 3 years.
- Proficient in programming languages and scripts used in model and tool development (C, C++, Python)
- Proficiency in Python, R, SQL, or similar data analysis languages.
- Experience using software libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar tools.
- Experience creating dashboards, reports, or visualizations using tools such as Power BI, Tableau, Looker, matplotlib, or similar platforms.
- Experience with use of source control such as Git.
- Must demonstrate initiative with minimal oversight
- Experience working in a team environment
- Experience authoring technical documentation and providing technical support
- Good written and spoken communication including developing technical documentation
- Ability to pass an FAA background investigation
- Must be local to the OKC area or willing to relocate.
- Will need to have the ability to physically access laboratory hardware when needed.
- Must be willing to travel up to 5% of the time.
Responsibilities
- Analyze system performance, operational trends, failure data, and reliability metrics to support engineering and management decisions.
- Perform statistical analysis, including hypothesis testing, ANOVA, regression, correlation analysis, and confidence interval estimation.
- Conduct reliability analysis to evaluate equipment performance, failure trends, maintainability, availability, and life-cycle risk.
- Design and evaluate experiments or comparative studies to determine whether observed differences are statistically significant.
- Develop models and analytical methods to detect anomalies, forecast trends, and support predictive maintenance or operational decision-making.
- Develop scripts and tools using C, C++, and Python for automation, analysis, and system configuration
- Support full software lifecycle including requirements, development, testing, and deployment
- Perform capacity planning and scalability assessments for distributed systems
- Develop technical documentation, reports, and artifacts for field use
- Lead or contribute to process improvements
- Collaborate with government stakeholders, engineers, and field technicians
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
