Introduction to the Team 

Our Expedia Product & Technology division builds innovative products, services and tools to deliver high-quality experiences for travelers, partners, and our employees. Traveler & Partner Service Platform delivers services that differentiates Expedia Group in the travel marketplace for our Partners and Travelers, along with building tools that support human agents of all types.  
 
We are seeking a high-performing Data Scientist III to join our Traveler and Service Partner (TPSP) Analytics team. In this role, you will tackle sophisticated analytical and business challenges, with a focus on applying statistics and data analytics to improve operations and service efficiency. You will drive change by generating actionable insights, mentoring junior colleagues, and managing complex analytical projects from start to finish. The position requires regular interaction with stakeholders up to the VP level and the ability to communicate data-driven insights that influence positive business outcomes. 
 

In This role, you will:  

• Collaborate with stakeholders & domain experts to understand business needs, define project goals, and align on data analysis approaches. 

• Lead analytical projects, defining, building, and refining models that offer valuable insights into business challenges. 

• Apply advanced statistical techniques (e.g., regression, ANOVA, A/B testing) and machine learning concepts to deliver insights that drive change. 

• Create clear and effective data visualizations (preferably using Tableau), tailoring insights for both technical and non-technical audiences. 

• Mentor junior analysts and contribute to the team's continuous learning and development. 

Experience and qualifications:  

• You hold a Ph.D., Master's, or Bachelor's degree in Mathematics, Data Science, or a related field, with a proven track record of delivering data-driven insights that drive performance improvements. 

• You have expertise in programming with Python for building data science models, predictive modeling, hypothesis testing (e.g., t-tests, ANOVA), and statistical analysis using libraries like NumPy, Pandas, and Scikit-learn. 

• You are proficient in data analysis, visualization tools (Python, R, SQL), and experienced in creating clear, impactful visualizations for diverse audiences, utilizing tools such as ggplot and Plotly. 

• You have hands-on experience working with large datasets, conducting feature engineering, and applying statistical techniques like regression analysis, A/B testing, and machine learning. 

• You possess advanced proficiency in SQL and data querying tools (Presto, Hive, BigQuery) and are knowledgeable in basic data engineering concepts for handling data at scale. 

• You independently manage end-to-end analytical projects, collaborating cross-functionally to align on business goals while continuously refining processes and building scalable data products.