Data Scientist

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.

Requirements

• US Citizenship or Permanent Residency required. All applicants must have resided in the United States for the past 3 years.
• On-site Presence Will Be As Required By The FAA.
• Proficient in programming languages and scripts used in model and tool development (C, C++, Python).
• 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.
• Ability to pass an FAA background investigation.
• Must be local to the OKC area or willing to relocate.
• Must be willing to travel up to 5% of the time.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field.
• Level 1: Entry Level
• Level 2: Minimum 3 years of experience equivalent to a level 1
• Level 3: Minimum 3 years of experience equivalent to a level 2
• Level 4: Minimum 3 years of experience equivalent to a level 3

Benefits

• Competitive pay and benefits packages.
• Health care, dental, vision, life insurance.
• 401(k).
• Education assistance.
• Paid time off including PTO, holidays, and any other paid leave required by law.

Pay

The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law.

Schedule

Not specified.

Skills

• Data Science
• Computer Science
• Computer Engineering
• Mathematics
• Programming Languages (C, C++, Python)
• Software Libraries (pandas, NumPy, scikit-learn, TensorFlow, PyTorch)
• Source Control (Git)
• Statistical Analysis
• Reliability Analysis
• Experiment Design
• Model Development
• Automation
• Technical Documentation
• Process Improvement
• Collaboration
• Technical Support
• Written and Spoken Communication

Benefits

• Health Care
• Dental
• Vision
• Life Insurance
• 401(k)
• Education Assistance
• Paid Time Off (PTO, holidays, and other paid leave required by law)