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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.
विवरण
- 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.
आवश्यकताएँ
- 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.
लाभ
- 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
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