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Data Scientist
Signature AviationData Scientist analyzing aviation operational data and developing predictive models for operational efficiency and revenue optimization. Collaborating with various teams to deliver actionable insights.
Tech Stack
Tools & technologiesPandasPythonScikit-LearnSQLTableau
About the role
Key responsibilities & impact- Translate business challenges into analytical approaches and technical solutions
- Develop statistical and machine learning models supporting initiatives such as demand forecasting, staffing optimization, and operational planning
- Build time series models and predictive analytics solutions to support operational and commercial decision-making
- Prepare, clean, and transform raw data into structured datasets suitable for statistical modeling and analysis
- Identify and incorporate new data sources and variables to improve model performance and predictive accuracy
- Translate model outputs into operational insights and measurable business KPIs
- Develop visualizations and reporting tools that communicate model results and insights to business stakeholders
- Integrate analytical outputs into operational workflows and decision-making processes
- Partner with cross-functional teams across operations, technology, and analytics to prioritize and execute data initiatives
- Build relationships with internal and external data and technology partners to enhance analytics capabilities
Requirements
What you’ll need- 1–3 years of experience in a data science, machine learning, or advanced analytics role
- Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative field
- Experience applying statistical modeling and machine learning techniques to real-world business problems
- Strong programming skills in Python (e.g., Pandas, scikit-learn) and SQL
- Experience with time series forecasting and machine learning models
- Familiarity with data visualization and business intelligence platforms such as Power BI or Tableau
- Experience applying diverse analytical methodologies to solve technical and operational challenges
- Ability to communicate complex analytical concepts clearly to both technical and non-technical stakeholders
- Strong collaboration skills with the ability to work both independently and within cross-functional teams
Benefits
Comp & perks- Medical/prescription drug, dental, and vision Insurance
- Health Savings Account
- Flexible Spending Accounts
- Life Insurance
- Disability Insurance
- 401(k)
- Critical Illness, Hospital Indemnity and Accident Insurance
- Identity Theft and Legal Services
- Paid time off
- Paid Maternity Leave
- Tuition reimbursement
- Training and Development
- Employee Assistance Program (EAP) & Perks