Signature Aviation operează o rețea globală de terminale pentru aviație privată, deservind clienți din aviația de afaceri și aviația privată. Compania combină ospitalitatea și serviciile de asistență aeronautică în peste 200 de locații din 27 de țări de pe cinci continente, oferind servicii precum combustibil de aviație sustenabil, întreținerea aeronavelor, soluții de vânzări personalizate și proprietăți imobiliare asociate aviației. Echipele sale sprijină experiența de călătorie de la un capăt la altul pentru clienții din sectorul aviației private.
Junior Data Scientist, Forecasting and Machine Learning — Signature Aviation
Develop forecasting and machine learning solutions for Signature Aviation’s global private aviation terminal network. Use actionable analytics to improve operations, workforce planning, and revenue outcomes.
Descriere
- Turn business challenges into analytical methods and technical solutions.
- Develop statistical and machine learning models for demand forecasting, staffing optimization, and operational planning.
- Create time series models and predictive analytics for operational and commercial decisions.
- Prepare, clean, and transform raw data into structured datasets for statistical modeling and analysis.
- Find and add data sources and variables that improve model performance and predictive accuracy.
- Convert model outputs into operational insights and measurable business KPIs.
- Create visualizations and reporting tools to share model results and insights with business stakeholders.
- Integrate analytical outputs into operational workflows and decision-making.
- Work with operations, technology, and analytics teams to prioritize and deliver data initiatives.
- Build relationships with internal and external data and technology partners to strengthen analytics capabilities.
Cerințe
- Bring 1–3 years of experience in data science, machine learning, or advanced analytics.
- Hold an undergraduate degree in data science, statistics, mathematics, computer science, engineering, or another quantitative field.
- Have experience applying statistical modeling and machine learning to real business problems.
- Have strong Python skills, including Pandas and scikit-learn, and strong SQL skills.
- Have experience with time series forecasting and machine learning models.
- Be familiar with data visualization and business intelligence platforms such as Power BI or Tableau.
- Have experience applying varied analytical methods to technical and operational challenges.
- Communicate complex analytical concepts clearly to technical and non-technical stakeholders.
- Collaborate effectively, working independently and with cross-functional teams.
Beneficii
- 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) and perks