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Data Scientist

NetJets

Salary not specified
Aug 22, 2025
Columbus, OH, US
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NetJets needs to harness the power of data to drive insights and solutions across the organization, requiring individuals who can tackle challenging, deadline-driven problems in a rapidly changing environment.

Requirements

  • Proficiency in programming languages such as Python or R, and experience with SQL for data manipulation.
  • Familiarity with machine learning frameworks and libraries.
  • Experience with data visualization tools such as Tableau, PowerBI, or equivalent preferred.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and version control tools (GitHub, BitBucket) are a plus.
  • Master's or Doctorate degree preferred.
  • 4-6 years of experience with data science or a similar role, with a proven track record of building predictive models and delivering data-driven insights.

Responsibilities

  • Lead the development and implementation of complex statistical models and machine learning algorithms to analyze large datasets and generate actionable insights.
  • Partner with leaders throughout the business to understand their data needs and deliver solutions that support decision-making processes.
  • Communicate results effectively to both technical and non-technical audiences.
  • Provide recommendations and insight into the use of advanced modeling and analytics techniques.
  • Work with individuals across data teams and the business to advance successful utilization of analytical products and advanced models.
  • Translate data findings into strategic recommendations that drive business performance and contribute to the achievement of organizational goals.
  • Stay updated on the latest data science trends, tools, and techniques to ensure the application of cutting-edge methods in your work.

Other

  • Provide guidance and mentorship to junior data scientists and analysts, fostering a culture of continuous learning and development within the team.
  • Strong analytical thinking, problem-solving abilities, and excellent written and verbal communication skills to articulate complex data concepts to a diverse audience.
  • Adaptability
  • Collaboration
  • Strives for Positive Results