Data Scientist - Network Planning

  • Kforce
  • Long Island City, New York
  • Full Time

Kforce has a client in Long Island City, NY that is seeking a Data Scientist - Network Planning.

Summary:We are seeking a Data Scientist to support network planning, scheduling, and forecasting initiatives. This role focuses on developing data-driven solutions to optimize routes, improve operational efficiency, and support strategic planning decisions. The ideal candidate brings strong analytical and machine learning experience, with exposure to transportation, logistics, or airline operations highly preferred.

Key Responsibilities:

  • Partner with business stakeholders to support network planning, route optimization, and scheduling decisions
  • Perform exploratory data analysis, feature engineering, and model development
  • Build and deploy machine learning and optimization models to improve forecasting and operational efficiency
  • Analyze large datasets to identify trends and provide actionable insights for planning and strategy
  • Collaborate with data, engineering, and infrastructure teams to support scalable data and model solutions
  • Develop visualizations and reports to communicate findings to both technical and non-technical audiences
  • Follow best practices in coding, testing, and model lifecycle management* Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field
  • 3+ years of experience in data science, analytics, or machine learning
  • Proficiency in Python, SQL, and common data science/machine learning libraries
  • Experience building and evaluating machine learning models
  • Strong analytical and problem-solving skills
  • Ability to communicate complex findings clearly to business stakeholders

Preferred Qualifications:

  • Experience in airline, transportation, logistics, or similar industry
  • Experience with forecasting, scheduling, or route optimization
  • Strong background in optimization techniques (for at least one role)
  • Familiarity with tools such as Spark/PySpark, Databricks, or cloud platforms
  • Experience with time series modeling or operations-focused analytics
Job ID: 522916206
Originally Posted on: 5/29/2026

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