Data Scientist

Signature Aviation

. Translate business challenges into analytical approaches and technical solutions .

Posted 10/13/2026full-timeOrlando • Florida • United StatesJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling, machine learning, and data analysis to drive operational insights and business decision-making. Proficient in Python and SQL, with a strong ability to communicate complex concepts to diverse stakeholders.

Highest-signal resume keywords

Statistical ModelingMachine LearningPython ProgrammingSQL ProficiencyData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine LearningTime Series ForecastingPredictive AnalyticsData PreparationData TransformationAnalytical MethodologiesOperational InsightsKPI MeasurementData Integration

Soft Skills

CollaborationCommunicationProblem-SolvingIndependenceStakeholder Engagement

Tools & Technologies

PythonSQLPower BITableauScikit-learnPandas

Industry Keywords

Data ScienceAdvanced AnalyticsOperational PlanningDemand ForecastingCross-Functional Teams

Tech Stack

Tools & technologies

PandasPythonScikit-LearnSQLTableau

About the role

Key responsibilities & impact

Translate business challenges into analytical approaches and technical solutions
Develop statistical and machine learning models supporting demand forecasting, staffing optimization, and operational planning
Build time series models and predictive analytics solutions for operational and commercial decision-making
Prepare, clean, and transform raw data into structured datasets 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 to 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