Data Scientist

Summary

The Data Scientist turns data into high value assets in the form of insights and predictive models that contribute to measurable improvements in business process and performance. This role is responsible to identify appropriate data for the business problem at hand; collect, join, aggregate, validate and cleanse data into training samples for analysis; build, validate and maintain models; as well provide documentation and support for the application of the models in production.

Visa Sponsorship Available:
No

• Combination of Education and Experience will be considered.
• Must be authorized to work in the US as defined by the Immigration Act of 1986.
• Must pass a Criminal Background Check.
• Education:
  
  Bachelor’s Degree
• Education Details:
  From an accredited college/university in one or more of the following:
  Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Econometrics, Physics, Operations Research or related field.
• Years of
  
  Experience:
  
  Minimum of one (1) year of experience in a technical environment.
• Other Requirements:
  • Understanding of applied Statistics, algorithms, modeling techniques as they relate to Data Science as a practice.
  • Technical experience working with data to include sourcing, extracting, validating, exploring, and transforming data with tools like SQL and Python.
  • Expert knowledge of the Data Science process.
  • Initiative, curiosity, and problem-solving skills through personal development projects and ongoing education.
  • Competency with Python and/or R
  • Competency with SQL

• Master's Degree or PhD
• Strong knowledge in one or more of the following fields: statistics, data mining, machine learning, simulation, operations research, econometrics, and/or information retrieval.
• Strong knowledge of the data science process and practical experience using machine learning algorithms including regression, classification, simulation, scenario analysis, modeling, clustering, and decision trees.
• Knowledge in airline operations, customer interactions and/or inter-departmental limitations across business units.
• Strong written and verbal communication skills, proven presentation skills to all levels of audience.
• Strong intellect and analytical aptitude, along with ability to be self-driven.
• Demonstrated proficiency in Python, R, MATLAB, SQL or other programming languages or packages.
• Comfortable with a fast paced, dynamic work environment.
• Strong computer skills including but not limited to MS Office products.

• Analyze and model airline operations and/or customer data and implement algorithms to support analysis using advanced statistical, engineering, and mathematical methods from physics, machine learning, data mining, econometrics, and operations research.
• Interpret business opportunities into Data Science projects and deliverables. Deliver Data Science solutions and quantify ROI/Business impact.
• Translate advanced analytics problems into technical approaches that yield actionable recommendations, in diverse domains such as predictive maintenance, delay predictions/recovery and Allegiant products upselling/cross-selling; communicate results and educate stakeholders through insightful visualizations, reports and presentations.
• Facilitate conversations for teams to collaborate in removing impediments, empowering teams to self-organize and improve their productivity.
• Retrieve, prepare, and process a rich variety of data sources from structured/unstructured cloud and non-cloud sources.
• Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships.
• Exercise continuous self-development, education and learning.
• Act as an analytical mentor to others in the organization.
• Help establish and sustain Data Science culture.
• Leverage available research data to stay informed about industry related trends, potential disrupters, and competitive capabilities.
• Document various approaches and model metrics to seek iterative means of improvement.
• Provide a cohesive end-to-end solution through understanding the “cross-pollination” of technology/engineering/commercial verticals and applying both areas of expertise and…