Data Scientist - Machine Learning

Description

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 decision

Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using machine learning, statistical, and structured programming language

Identifies, researches, or solves large complex problems using big data and machine learning principle

Leverages understanding of the business process to identify and implement predictive and prescriptive solutions that will result in significant bottom-line contribution

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 group

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 risk

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 organization

Communicates results to management and client

Contributes deck content and builds the story for the deck with guidance to summarize finding

Develops and delivers presentations aligned with Analytics & Innovation team standard

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 field

Research and socialize tools and techniques in data science, ensuring best practices are applied at United

Qualifications

What's needed to succeed (Minimum Qualifications):

Master's degree in quantitative field (machine learning, data science, statistics, engineering, etc.)

Coursework or work experience with mathematical programming technique

Coursework or work experience implementing supervised machine learning to real-world tabular data use case

Hands-on experience with ML and statistical modeling in applied project

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 audience

Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment

Good interpersonal skills and ability to interact with client

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 qualification

Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):

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