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Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what’s next. Let’s define tomorrow, together.

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 [email protected] to request accommodation.