Intern Data Scientist

Requisition Number: 19854

Contract Type: Internship/trainee

Location(s):

Chicago, IL, US

Intern Data Scientist

The job responsibilities outlined in this document are not exhaustive and may evolve over time and be reviewed according to business needs.

Role Description

The Performance Data Scientist Intern supports the Aero Performance Analytics team in transforming complex operational and network data into actionable insights to improve ser-vice level performance for Aero customers. This role focuses on leveraging machine learn-ing, advanced analytics, and modern data engineering techniques to identify performance trends, build predictive models, and enable proactive decision-making.

The intern will contribute to improving network efficiency, customer experience, and opera-tional performance across airline and connectivity environments.

Your Responsibilities

• Data Collection & Preparation
• Ingest, clean, and preprocess large-scale datasets, including flight logs, network per-formance metrics, and operational data
• Parse structured and unstructured data sources to ensure data quality, consistency, and usability
• Perform exploratory data analysis (EDA) to identify patterns, anomalies, and correla-tions
• Predictive Modeling & Analytics
• Develop and validate predictive models (e.g., network latency, throughput perfor-mance, service degradation)
• Apply statistical analysis and machine learning techniques to forecast trends and de-tect performance issues
• Continuously improving model accuracy through feature engineering and tuning
• Performance Optimization & Data Visualization
• Translate complex datasets into actionable recommendations for engineering and business teams
• Build dashboards and visualizations to communicate insights effectively (e.g., Tab-leau, Power BI)
  
  

COMPETENCIES

• Strong analytical mindset with the ability to translate data into business insights
• Solid understanding of machine learning concepts and their real-world applications
• Programming: Python, R, SQL (preferred)
• Data manipulation and analysis: Pandas, NumPy, or similar libraries
• Machine learning frameworks: Scikit-learn, TensorFlow, or equivalent (preferred)
• Data visualization: Tableau, Power BI, or similar tools
• Familiarity with AI and its applications is a plus
  
  

Qualifications & Experience

• Currently pursuing or recently completed a bachelor’s or master’s degree in:
• Data Science
• Computer Science
• Engineering
• Information Technology
• Or a related quantitative field
• Experience working with large datasets and data processing tools
• Foundational knowledge of statistical analysis and predictive modeling
• Exposure to cloud platforms or data engineering concepts is a plus
• Knowledge or interest in satellite communications, aviation, or telecom industries is a strong advantage
  
  

SES and its Affiliated Companies are committed to providing fair and equal employment opportunities to all. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law.

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