Apply statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests
Apply Natural Language models to Google keyword analysis and applying meta models to our multi-objective ranking problem
Communicate complex analytical topics in a clean & simple way to multiple partners and senior leadership
Conduct feature engineering and modifying existing models/techniques to suit business needs
Develop domain expertise in fraud & risk to understand how to detect risky transactions
Model rich and complex online travel data to understand, predict and optimize business metrics to help improve the traveler experience
Frame business problems as data science problems with a concrete set of tasks

Requirements

Must be available to start on August 17, 2026
Must be graduating between December 2025 and July 2026 with a Masters degree in a technical or analytical-related subject such as Computer Science, Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering
Must be willing to relocate to the city of job location if outside commuting distance
Helpful to understand ML techniques like Regression, Naïve Bayes, Gradient Boosting, Random Forests, SVMs, Neural Networks, and NLP
Helpful to have experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java
Helpful to understand distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.)
Helpful to be familiar with cloud computing, AWS specifically in a distributed computing context
Helpful to be able to effectively communicate and engage with a variety of partners

Benefits

Medical, dental, and vision insurance options
Travel discounts
Wellness reimbursement
Restricted Stock Units
Employee Assistance Program and other mental health support
Generous time-off
Parental leave
Flexible work model

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistics methodsconfidence intervalspoint estimatessample size estimatesNatural Language modelsfeature engineeringML techniquesRegressionNaïve BayesNeural Networks

Soft Skills

communicationanalytical thinkingproblem framingengagement