Senior Data Scientist

Key Skills

AWS, Azure, JavaScript, PySpark, Python Programming, PyTorch, SQL, UI design, UX design

Job Description

There’s never been a more exciting time to join United Airlines. We’re on a path towards becoming the best airline in the history of aviation. Our shared purpose – Connecting People, Uniting the World – is about more than getting people from one place to another. It also means that as a global company that operates in hundreds of locations around the world with millions of customers and tens of thousands of employees, we have a unique responsibility to uplift and provide opportunities in the places where we work, live and fly, and we can only do that with a truly diverse and inclusive workforce. And we’re growing – in the years ahead, we’ll hire tens of thousands of people across every area of the airline. Our careers include a competitive benefits package aimed at keeping you happy, healthy and well-traveled. From employee-run Business Resource Group communities to world-class benefits like parental leave, 401k and privileges like space available travel, United is truly a one-of-a-kind place to work. Are you ready to travel the world?

Our Marketing and Loyalty team is the strategic force behind United’s industry-leading brand and experience, supporting revenue growth by turning customers into lifelong United flyers. Our marketing communications, market research and brand teams drive travelers’ familiarity and engagement with the United brand. Our product, design and service teams bring the signature United brand to life in our clubs and onboard our aircraft, ensuring a seamless, premier experience. And when customers choose United again and again, that’s because the loyalty team has been hard at work crafting an award-winning program. Our loyalty team manages United MileagePlus®, building travel and lifestyle partnerships that customers can engage with every day, and works with our Star Alliance partners to ensure United can take you anywhere you want to go.

The Senior Data Scientist drives continuous learning and improvement across United’s loyalty program, MileagePlus. Using some of the most complete member data available in any industry, the data science team is responsible for finding new opportunities to develop the program and new product opportunities with insights and models that shape business outcomes. This person will be expected to provide the example which other data scientists on the team can follow to better produce outcomes for the business.

Key Responsibilities:

• Communicate with stakeholders on business challenges and opportunities
• Educate others on opportunities to model insights
• Coordinate with cross functional teams to plan and implement solutions
• Dig into business problems by experimenting with models that will need to be tested and validated on new data resources or changing business environments
• Provide best practice recommendations to team members
• Lead by example, documenting success and failures alike in order to build long-term knowledge
• Influence decision-makers and peers alike toward a more data-centric view of problem-solving

NOTE: This position provides a hybrid work arrangement including days worked onsite at our Chicago office location and remotely.

Qualifications

United values diverse experiences, perspectives, and we encourage everyone who meets the minimum qualifications to apply. While having the desired qualifications make for a stronger candidate, we encourage applicants who may not feel they check ALL of those boxes! We are always looking for individuals who will bring something new to the table!

What’s needed to succeed (Minimum Qualifications):

• Bachelor's degree or equivalent experience in business, marketing, or quantitative field of study (statistics, engineering, analytics, information systems, aviation management, or related degree)
• 3+ years of experience in an analytics role using relational databases hands-on
• 1+ year of experience in core data science
• Experience working with large datasets for the purposes of statistical analysis such as supervised or unsupervised learning
• Experience with SQL
• Experience using Python for data manipulation, cleaning, model training and evaluation.
• Must be legally authorized to work in the United States for any employer without sponsorship

What will help you propel from the pack (Preferred Qualifications):

• Master's degree in statistics, mathematics, or business analytics
• 3+ year in core data science
• 1+ year in the travel industry
• 1+ year in marketing or loyalty studies
• Experience with reinforcement learning, causal inference, recommendation engines
• Experience training and deploying models with AWS.
• Experience with pyspark.