Senior Data Scientist – Analytics

Senior Data Scientist – Analytics

Requirements

• You have a master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or related technical field with 4-7 years of experience OR 7+ years of experience in a comparable data analytics role with relevant experience.
• Strong SQL skills; demonstrated experience of using languages such as R / PySpark / Python to structure, transform and visualize big data, and a willingness to learn new frameworks and languages required for the task.
• Deep logical thinking and experience in taking complex analyses, simplifying them into actionable ideas and influencing stakeholders on strategic inputs.
• Proficiency in basic machine learning concepts and approaches, including understanding when to apply them, identifying trade-offs, and performing model iterations and optimizations.
• Experience with designing, delivering, and maintaining data visualizations products through tools like Tableau and Power BI.
• Experience partnering with other teams and disciplines (Marketing, Finance, Channels, Engineering, etc.) and collaborating with other analytics teams to deliver projects.

Responsibilities

• Use data to support loyalty platform improvements, enhance the loyalty value proposition, and help brands reach their business goals.
• Measure the true impact of loyalty initiatives by running A/B tests and using quasi-experimental techniques like Causal Impact and Propensity Score Matching to estimate incremental uplift.
• Analyze customer behavior to uncover insights that help increase repeat bookings and reduce churn, guiding decisions that improve traveler engagement and retention.
• Assist managers and teams throughout the company to understand the power and value of an analytical approach to decision-making and provide them with the insights that contribute to the strategic goals of the organization.

Preferred Qualifications

No preferred qualifications provided.