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Signature Aviation
Signature Aviation
5001 – 10 000 Darbinieki
CeļojumiLoģistikaViesmīlība
Signature Aviation pārvalda globālu privātās aviācijas termināļu tīklu, kas apkalpo biznesa un privātās aviācijas klientus. Uzņēmums apvieno viesmīlību un aviācijas atbalsta pakalpojumus vairāk nekā 200 vietās 27 valstīs piecos kontinentos. Pakalpojumi ietver ilgtspējīgu aviācijas degvielu, gaisa kuģu apkopi, pielāgotus pārdošanas risinājumus un ar aviāciju saistītu nekustamo īpašumu. Uzņēmuma komandas atbalsta klientu pilno ceļošanas pieredzi privātās aviācijas nozarē.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisFLFloridaHibrīdiPilna slodzeJaunākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
PandasPythonScikit-LearnSQLTableau

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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