Data Scientist/Senior Data Scientist, Customer Analytics

Location: DFW Headquarters Building 8 (DFW-SV08)   
Additional Locations: None
Requisition ID: 70565 

Intro

Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you’ll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board!

Why you'll love this job

This job is a member of the Commercial Planning and Analysis team.  Are you a hardcore numbers person who enjoys solving some of business’ toughest challenges by illuminating phenomena and opportunity held within one of the world’s largest data sets?  As a Data Scientist in the Customer Analytics team at American Airlines, you will create insights that influence how we make decisions that have impact at a large scale.   You will be empowered to do your best work while unlocking business opportunity.  This team supports decision making by extracting key insights, using pattern recognition to develop predictive analytics, and translating results into goal-oriented business actions. Each day, you will be presented with a variety of new challenges and interesting projects that tap your interests and strengths. You’ll be leveraging data science methods, including AI and machine learning in an incredibly dynamic and engaging environment.  

What you'll do

As part of the Customer Analytics team, you will deliver data and analytics driven projects from beginning to end, by

• Applying advanced analytical techniques to answer customer-centric questions relevant to the business
• Collaborating with other teams to gather the right information from various sources so you can implement advanced statistical methodologies to optimize how our business can best perform  
• Obtaining, manipulating, cleaning, and analyzing structured and unstructured data from diverse sources
• Conducting exploratory analysis including hypothesis testing, statistical inference and statistical analysis (predictive and/or prescriptive)  
• Partnering with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions 
• Partner with other commercial teams and IT to develop and implement customers segmentations relevant to our commercial strategic objectives
• Work with other teams across the organization to integrate and centralize customer data for analytics purposes to increase customer knowledge across the organization, including but not limited to third party data, digital behavior, operational metrics, etc.
• Deploying models as proofs of concept or fully productionized implementations
• Help the development and evaluation of customer centric metrics that incorporate customer attributes and behaviors holistically and allow the company to better understand customer value
• Collaborate cross-functionally across workgroups to add customer insights leading to better decisions
• Select appropriate analytical tools and write code/queries to generate outputs supporting strategy and decision making
• Present updates to key stakeholders, including senior leadership regarding the evaluation of customer centric analytics and meaningful findings to the business
• Identify and assess opportunities to leverage new technologies and collaborate with external vendors to enhance customer understanding

All you'll need for success

Minimum Qualifications- Education & Prior Job Experience

•    Master’s/PhD degree or Bachelor’s degree with 2+ years of equivalent practical experience in a quantitative discipline (e.g., Data Science, Applied Mathematics, Statistics, Operations Research, Business Analytics, Computer Science, Engineering, etc.)
•    Experienced with Machine Learning, Data Science, and AI-driven techniques
•    Experience with at least one programming language (e.g., Python, R, Java)
•    Practical experience with data extraction, cleaning, and analysis

Preferred Qualifications- Education & Prior Job Experience

•    Experience with SQL and data visualization (e.g., Tableau)
•    Airline, aviation or transportation industry experience
•    Experience with Cloud Computing and/or Distributed Computing (e.g. Databricks, Spark, AWS)
•    Experience with Microsoft Azure (storage accounts, service principal, Azure Data Factory and active directory)
•    Experience in quantitative marketing (correlation, clustering, segmentation, regression)
•    Experience with  XGboost, KNN Neighbors, Random Forest

Skills, Licenses & Certifications

• Ad