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Senior Data Scientist

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Robert Half

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Location:
United States , Miami

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

An organization operating at global scale is seeking a Senior Data Scientist to join its corporate data science team. This role goes far beyond traditional analytics—you will develop innovative data-driven technologies, advanced machine learning models, and decision‑support systems that directly influence strategic and operational outcomes across a complex aviation and logistics environment.

Job Responsibility:

  • Lead the planning, design, and execution of complex data science initiatives aligned with business objectives
  • Translate ambiguous business requirements into well‑defined data science projects, deliverables, and timelines
  • Partner with cross‑functional stakeholders to identify impactful use cases across operations and corporate functions
  • Develop predictive, prescriptive, and optimization models to enhance operational efficiency and strategic planning
  • Design and run experiments to test hypotheses and measure impact using statistical methods
  • Perform exploratory data analysis to uncover insights, trends, and relationships across large and complex datasets
  • Build and maintain decision‑support tools powered by machine learning and operations research techniques
  • Monitor model performance in production and iterate as needed
  • Collect, clean, and process structured and unstructured data from internal and external sources
  • Perform ETL tasks, develop data pipelines, and apply advanced data preparation techniques
  • Use tools such as SQL, Python, R, Pandas, Spark, or similar frameworks to analyze large datasets
  • Create compelling visualizations, dashboards, and presentations to communicate complex insights to technical and non‑technical audiences
  • Provide mentorship, guidance, and subject‑matter expertise to junior data scientists
  • Contribute to the evaluation and adoption of emerging technologies, modeling techniques, and industry best practices

Requirements:

  • Master’s degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
  • Bachelor’s candidates with equivalent hands‑on experience are also encouraged to apply
  • 3+ years of experience in data science or advanced analytics (6+ years for those without a graduate degree)
  • Strong programming skills in Python, R, or similar languages
  • Proficiency in data manipulation (SQL, Pandas, Spark) and machine learning libraries (scikit‑learn, TensorFlow, PyTorch, etc.)
  • Deep understanding of statistical analysis, hypothesis testing, and ML modeling principles
  • Experience writing production‑grade code using version control, testing, and standard software engineering practices
  • Ability to work independently with limited supervision while managing complex projects

Nice to have:

  • Domain experience in aviation, transportation, or logistics
  • Experience with big data tools such as Spark, Databricks, or Palantir
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices
  • Experience with optimization tools (Gurobi, OR‑Tools, CPLEX)
  • Strong understanding of modern software engineering patterns and best practices
What we offer:
  • medical
  • vision
  • dental
  • life and disability insurance
  • company 401(k) plan

Additional Information:

Job Posted:
March 26, 2026

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