Data Scientist
Core
Design, execute, and analyze digital experiments to improve guest experiences, merchandising strategy, and commercial performance.
Role type
Individual contributor experimentation data scientist
Builds
Digital experiences, merchandising strategy, and commercial performance improvements
Domain
Travel / Airline industry, digital optimization, guest experience
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, statistical analysis, experiment design, data storytelling, data reconciliation, large dataset handling
Preferred skills
Causal and uplift modeling, experimentation design (AB testing, MVT, Multi-Armed Bandit), Databricks, Apache Spark, PySpark, GCP, Scikit-Learn, NumPy, SciPy, Optimizely
Technologies
Databricks, GCP, Python, PySpark, SQL, Tableau, Optimizely, Excel, CSS, HTML
Responsibilities
Partner with commercial stakeholders to shape experiment hypotheses, success metrics, sample sizes, and test plans; interpret experiment outcomes and confirm statistical significance; communicate results through presentations and data storytelling; maintain experimentation documentation and support governance; protect data integrity through reconciliation, integration, and auditing; run tests and analyze data using specified tools.
Seniority
Individual contributor, mid-level (2+ years experience required)