Data Scientist II, Landing Pages Analytics

Role Overview: Expedia Group is seeking a Data Scientist II to join the Landing Analytics team, which plays a crucial role in shaping the traveler experience by utilizing data to inform decisions, optimize performance, and uncover opportunities for innovation. As a Data Scientist II, you will be part of a collaborative team that values transparency, continuous learning, and data-driven storytelling. This role offers a fantastic opportunity to contribute to meaningful projects that impact millions of travelers worldwide. Key Responsibilities: - Apply analytics principles to solve business problems with moderate guidance. - Extract, transform, and analyze data from multiple sources to build models and generate insights. - Design and execute experiments such as A/B tests and causal impact studies to evaluate business strategies. - Build and interpret models like linear/logistic regression and clustering, understanding their assumptions and applications. - Create clear, inclusive visualizations and dashboards to communicate insights to both technical and non-technical audiences. - Collaborate with stakeholders to refine project goals, iterate on solutions, and deliver impactful recommendations. - Write efficient, reproducible code and documentation using tools like GitHub, IEX, and Confluence. - Empower stakeholders through training and enablement on analytics tools and dashboards. - Demonstrate initiative in learning new modeling techniques and applying them to current projects. - Contribute to a culture of peer review, knowledge sharing, and continuous improvement. Qualifications Required: - Bachelors or Masters degree in Mathematics, Statistics, Computer Science, or a related field. - 2-3+ years of experience in data analytics or a comparable role. - Proven track record of delivering data-driven insights that influenced business decisions. - Proficiency in SQL, Python, R, or similar tools for data analysis and visualization. - Understanding of descriptive statistics, probability theory, and statistical testing. - Experience with data modeling techniques and experiment design. - Familiarity with big data challenges and performance optimization. - Ability to write intermediate SQL queries and build scalable data pipelines. - Strong critical thinking, problem-solving skills, effective communication, storytelling abilities, and business acumen. - Collaborative mindset, openness to feedback, and commitment to inclusive design and accessibility in data visualization.,