Associate - Data Scientist
2 weeks ago
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.
**Our Values**: At United Airlines, we believe that inclusion propels innovation and is the foundation of all that we do. Our Shared Purpose: "Connecting people. Uniting the world." drives us to be the best airline for our employees, customers, and everyone we serve, and we can only do that with a truly diverse and inclusive workforce. Our team spans the globe and is made up of diverse individuals all working together with cutting-edge technology to build the best airline in the history of aviation.
With multiple employee-run "Business Resource Group" communities and world-class benefits like health insurance, parental leave, and space available travel, United is truly a one-of-a-kind place to work that will make you feel welcome and accepted. Come join our team and help us make a positive impact on the world.
Job overview and responsibilities
Data Scientists within Ai partner with business and technology leaders across the company to deploy AI & ML powered solutions to support and automate business processes. The team works closely with other teams in digital technology with complementing skills and capabilities. The key objectives are to drive incremental revenue, boost customer engagement and to automate manual processes by leveraging state-of-the-art ML techniques. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments.
Work with other data scientists and a variety of stakeholders (IT, DE, business etc.) to deliver high-quality models
Gathering and analyzing data of United’s various operations to make fact-based, data-driven recommendations
Execute solutions to business problems using data analysis, machine learning and optimization tools
Enable data transfer between platforms and monitor model performance for scalable project deployments
Research latest machine learning approaches and share the knowledge across the team
Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers
Partner and engage with data engineering and operations teams to inform and support business stakeholders with day-to-day project updates.
This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.
**Qualifications**:
Required
BTech/Bachelor’s degree
Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
Full time or internship experience in analytics/data science
0-3 years relevant work experience
Excellent analytical and problem-solving skills
Proficiency in Programming Languages (Python/R), SQL, Excel and other Microsoft Office products
Intermediate knowledge in machine learning algorithms like Bagging (Decision Trees, RF), Boosting (XGBoost, GBM), Clustering (KMeans)
Proven comfort and an intellectual curiosity for working with very large sets of data
Understanding of probability & statistics
Ability to bridge business context with technical details and explain and discuss mathematical and machine learning technicalities to a business audience
Strong interpersonal skills with a focus on teamwork
Preferred
MTech/Master’s degree
Data Science, Business Analytics, Engineering, Technology, Computer Science,, Statistics, Operations Research, Applied Mathematics, Economics
Knowledge of deep learning/neural networks and experience with NLP/CV
Hands on experience in using AWS/Azure etc
Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT
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