Data Scientist - Marketing Analytics

Hawaiian Holdings Inc   •  

Honolulu, HI

Industry: Transportation

  •  

5 - 7 years

Posted 39 days ago

Position Overview

Hawaiian Airlines Marketing Analytics is seeking a high-performing individual and team player to lead mathematical modeling and optimization projects across teams department-wide. This position provides advanced analytical products and services, specializing in creating innovative data-driven decision-support tools to optimize business decisions, through application of statistical and mathematical modeling.

Key Responsibilities

  • Provide analytical consultation, statistical/mathematical modeling, and solutions to achieve business objectives
  • Research, design, develop, implement, and support decision-science models.
  • Drive commercial customer data integration initiatives from ideation to production.
  • Conduct research on analytical techniques and translate that research into usable, sustainable, and scalable solutions for users of production systems
  • Perform data collection, data cleaning, data validation, and reporting tasks for analytical systems and applications
  • Perform exploratory data analysis to identify patterns and trends in customer behavior
  • Lead the analysis and validation of statistical, forecasting, and optimization models
  • Communicate analytical results to business partners and clients
  • Serve as technical consultant in the fields of marketing analytics, data science, and decision analytics.
  • Design and develop advanced data mining, forecasting, estimation, simulation, and/or optimization models
  • Provide science calibration support for decision-science models
  • Identify and apply best practices in field of advanced analytics

Requirements

Minimum Qualifications

  • Master’s degree in Statistics, Industrial Engineering/Operations Research, Applied Mathematics, Machine Learning, Decision Science, Computer Science, Computational Economics, or related field
  • 5+ years of experience in applying advanced analytics to support business decisions, yielding measured outcomes improvement
  • Expert?level fluency in applying advanced multivariate statistical analysis (logistic & linear regression, decision tree, cluster analysis, ANOVA) to categorize, classify, and detect relationships in large datasets
  • Proficiency in extracting and cleansing large datasets from different data sources
  • Proficiency in programming with knowledge of SQL, R, SAS, Python, or other similar languages
  • Ability to understand complex business requirements and define key performance metrics to measure benefits and communicate complex quantitative analysis in a clear, precise, and actionable manner

Preferred Qualifications

  • Ph.D. in Statistics, Industrial Engineering/Operations Research, Applied Mathematics, Machine Learning, Decision Science, Computer Science, Computational Economics, or related field
  • Strong grasp of marketing analytics theory and concepts
  • Experience leading diverse teams and interacting with vendors\
  • Demonstrated familiarity with the airline or transportation industries

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