Data Scientist - Network Planning

Responsibilities

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
  
  

Requirements

• 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
  
  

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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