Data Scientist - Machine Learning

United Airlines•Chicago, IL

17h

About The Position

United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Job overview and responsibilities Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions

Requirements

Master’s degree in quantitative field (machine learning, data science, statistics, engineering, etc.)
Coursework or work experience with mathematical programming techniques
Coursework or work experience implementing supervised machine learning to real-world tabular data use cases
Hands-on experience with ML and statistical modeling in applied projects
Strong Python software engineering skills with a focus on object-oriented programming and GitHub usage
Proficiency in SQL for analytical tasks and data manipulation
Ability to identify high-value opportunities and efficiently apply data science techniques to drive business impact
Strong ownership mindset, with the ability to work independently and collaborate across teams, including with SMEs and stakeholders, without direct supervision
Demonstrated intellectual curiosity, with a proactive approach to solving complex problems and a willingness to navigate ambiguity
Excellent oral and written communication skills, with the ability to clearly explain algorithms, modeling techniques, and data-driven insights to diverse audiences
Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment
Good interpersonal skills and ability to interact with clients
Proficient with MS Office
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualifications
Reliable, punctual attendance is an essential function of the position

Nice To Haves

Supervised computer vision (object detection) & NLP
Signal processing & machine learning applied to sensor data
Causal ML (DML, DR, etc.)
Probabilistic programming (Pyro, PyMC, Stan, etc.) and Bayesian modeling
AWS cloud stack experience
PySpark
Docker
Generative AI
Demonstrated ability to create business value

Responsibilities

Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using machine learning, statistical, and structured programming languages
Identifies, researches, or solves large complex problems using big data and machine learning principles
Leverages understanding of the business process to identify and implement predictive and prescriptive solutions that will result in significant bottom-line contributions
Builds and develops machine learning model applications, and provides client support leveraging machine learning knowledge
Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups
Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available
Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for)
Anticipates working team questions to data and approach
Identifies solution quality risks and on-time risks
Understands the business value, process, and expectations before focusing on choice of a technical solution
Understands the intuition behind the numbers (i.e. does it make sense?)
Provides on-going analytical services to client organizations
Communicates results to management and clients
Contributes deck content and builds the story for the deck with guidance to summarize findings
Develops and delivers presentations aligned with Analytics & Innovation team standards
Speaks in a manner appropriate for working team and their level +1
Keeps informed about the latest analytical methods and research in machine learning, data science, and other analytics fields
Research and socialize tools and techniques in data science, ensuring best practices are applied at United