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Description
United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Find your future at United! We're reinventing what our industry looks like, and what an airline can be - from the planes we fly to the people who fly them. When you join us, you're joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward.
Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world's biggest route network. Connect outside your team through employee-led Business Resource Groups.
Create what's next with us. Let's define tomorrow together.
Job overview and responsibilities
The Data Scientist will collaborate with the Digital Products & Analytics team and business subject matter experts (SMEs) to develop and deploy machine learning solutions, as well as provide consultation on ML techniques and technologies.
The Data Science team within Digital Products & Analytics specializes in predictive and causal modeling using both structured (tabular) and unstructured data. Our work is centered on projects that enhance financial performance and operational efficiency, improve customer experiences, and support employee engagement.
Develops the approach and methods to define and solve management problems through quantitative analysis, model development and implementation using machine learning, statistical techniques, and structured programming languages
Identifies, researches, or solves large complex problems using machine learning & statistical modeling on big data and unstructured data
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-based applications, and provides client support leveraging machine learning and software engineering knowledge
Partners with ML Operations team to deploy models to production platform and monitor performance
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 Ai standards
Research and socialize tools and techniques in data science, ensuring best practices are applied at United.
Qualifications
Required
Bachelor's degree in Quantitative field (statistics, physical science, engineering, math, economics - social science if paired with statistical background)
3 years experience in predictive modeling
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
Excellent oral and written communication skills, with the ability to clearly explain algorithms, modeling techniques, and data-driven insights to diverse audiences
Proven ability to develop and execute project plans, from conception to delivery
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
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
Preferred
Master's degree
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
Graph ML
Generative AI
The base pay range for this role is $91,770.00 to $125,070.00.
The base salary range/hourly rate listed is dependent on job-related, non-discriminatory factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.