Signature Aviation biznes va xususiy aviatsiya mijozlariga xizmat ko‘rsatuvchi xususiy aviatsiya terminallarining global tarmog‘ini boshqaradi. Kompaniya besh qit’adagi 27 mamlakatda joylashgan 200 dan ortiq manzilda mehmondo‘stlik xizmatlari va aviatsiya ko‘magini birlashtiradi. Uning xizmatlari qatoriga barqaror aviatsiya yoqilg‘isi, havo kemalariga texnik xizmat ko‘rsatish, maxsus savdo yechimlari va aviatsiya bilan bog‘liq ko‘chmas mulk xizmatlari kiradi. Kompaniya jamoalari xususiy aviatsiya sohasidagi mijozlarning safar tajribasini boshidan oxirigacha qo‘llab-quvvatlaydi.
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.
Tavsif
- 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.
Talablar
- 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.
Imtiyozlar
- 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