Uniteds 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 languagesIdentifies, researches, or solves large complex problems using machine learning statistical modeling on big data and unstructured dataLeverages understanding of the business process to identify and implement predictive and prescriptive solutions that will result in significant bottom-line contributionsBuilds and develops machine learning-based applications, and provides client support leveraging machine learning and software engineering knowledgePartners with ML Operations team to deploy models to production platform and monitor performanceUnderstands the business value, process, and expectations before focusing on choice of a technical solutionUnderstands the intuition behind the numbers (i.e. does it make sense?)Provides on-going analytical services to client organizationsCommunicates results to management and clientsContributes deck content and builds the story for the deck with guidance to summarize findingsDevelops and delivers presentations aligned with Ai standardsResearch and socialize tools and techniques in data science, ensuring best practices are applied at United.

Uniteds 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 languagesIdentifies, researches, or solves large complex problems using machine learning statistical modeling on big data and unstructured dataLeverages understanding of the business process to identify and implement predictive and prescriptive solutions that will result in significant bottom-line contributionsBuilds and develops machine learning-based applications, and provides client support leveraging machine learning and software engineering knowledgePartners with ML Operations team to deploy models to production platform and monitor performanceUnderstands the business value, process, and expectations before focusing on choice of a technical solutionUnderstands the intuition behind the numbers (i.e. does it make sense?)Provides on-going analytical services to client organizationsCommunicates results to management and clientsContributes deck content and builds the story for the deck with guidance to summarize findingsDevelops and delivers presentations aligned with Ai standardsResearch and socialize tools and techniques in data science, ensuring best practices are applied at United.

Required

Bachelors degree in Quantitative field (statistics, physical science, engineering, math, economics – social science if paired with statistical background)3 years experience in predictive modelingExperience implementing supervised machine learning to real-world tabular data use casesHands-on experience with ML and statistical modeling in applied projectsStrong Python software engineering skills with a focus on object-oriented programming and github usageProficiency in SQL for analytical tasks and data manipulationExcellent oral and written communication skills, with the ability to clearly explain algorithms, modeling techniques, and data-driven insights to diverse audiencesProven ability to develop and execute project plans, from conception to deliveryAbility to identify high-value opportunities and efficiently apply data science techniques to drive business impactStrong ownership mindset, with the ability to work independently and collaborate across teams, including with SMEs and stakeholders, without direct supervisionDemonstrated intellectual curiosity, with a proactive approach to solving complex problems and a willingness to navigate ambiguityMust be legally authorized to work in the United States for any employer without sponsorshipSuccessful completion of interview required to meet job qualificationReliable, punctual attendance is an essential function of the position

Preferred

Masters degreeSupervised computer vision (object detection) NLPSignal processing machine learning applied to sensor dataCausal ML (DML, DR, etc.)Probabilistic programming (Pyro, PyMC, Stan, etc.) and Bayesian modelingAWS cloud stack experiencePySparkGraph MLGenerative AI

Required

Bachelors degree in Quantitative field (statistics, physical science, engineering, math, economics – social science if paired with statistical background)3 years experience in predictive modelingExperience implementing supervised machine learning to real-world tabular data use casesHands-on experience with ML and statistical modeling in applied projectsStrong Python software engineering skills with a focus on object-oriented programming and github usageProficiency in SQL for analytical tasks and data manipulationExcellent oral and written communication skills, with the ability to clearly explain algorithms, modeling techniques, and data-driven insights to diverse audiencesProven ability to develop and execute project plans, from conception to deliveryAbility to identify high-value opportunities and efficiently apply data science techniques to drive business impactStrong ownership mindset, with the ability to work independently and collaborate across teams, including with SMEs and stakeholders, without direct supervisionDemonstrated intellectual curiosity, with a proactive approach to solving complex problems and a willingness to navigate ambiguityMust be legally authorized to work in the United States for any employer without sponsorshipSuccessful completion of interview required to meet job qualificationReliable, punctual attendance is an essential function of the position

Preferred

Masters degreeSupervised computer vision (object detection) NLPSignal processing machine learning applied to sensor dataCausal ML (DML, DR, etc.)Probabilistic programming (Pyro, PyMC, Stan, etc.) and Bayesian modelingAWS cloud stack experiencePySparkGraph MLGenerative AI