Data Scientist - Machine Learning

hackajob is collaborating with United Airlines to connect them with exceptional professionals for this role.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.DescriptionUnited'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 ResponsibilitiesProvides 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 decisionsDevelops the approach and methods to define and solve management problems through quantitative analysis and analytical models using machine learning, statistical, and structured programming languagesIdentifies, researches, or solves large complex problems using big data and machine learning principlesLeverages 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 model applications, and provides client support leveraging machine learning knowledgeParticipates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groupsRaises 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 availableDesigns 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 approachIdentifies solution quality risks and on-time risksUnderstands 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 Analytics & Innovation team standardsSpeaks in a manner appropriate for working team and their level +1Keeps informed about the latest analytical methods and research in machine learning, data science, and other analytics fieldsResearch and socialize tools and techniques in data science, ensuring best practices are applied at UnitedQualificationsWhat’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 techniquesCoursework or work experience 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 manipulationAbility 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 ambiguityExcellent oral and written communication skills, with the ability to clearly explain algorithms, modeling techniques, and data-driven insights to diverse audiencesGood business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environmentGood interpersonal skills and ability to interact with clientsProficient with MS OfficeMust be legally authorized to work in the United States for any employer without sponsorshipSuccessful completion of interview required to meet job qualificationsReliable, punctual attendance is an essential function of the positionWhat will help you propel from the pack (Preferred Qualifications):Supervised 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 experiencePySparkDockerGenerative AIDemonstrated ability to create business valueThe base pay range for this role is $94,145.00 to $122,550.00.The base salary range/hourly rate listed is dependent on job-related, 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. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contactJobAccommodations@united.com