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Data Scientist – A/B Testing Terms: All Capgemini contracts are ongoing with a right to hire after 3 months. Conversion at 90 days is rare and pre-specified by Capgemini, but the right to hire remains in place.
Target Pay Rate: $69/hr C2C
Location: Miami, US
Work schedule details: Onsite
Details: Required Qualifications:
Optimize testing design leads to better business outcomes
-Estimate P&L Impact of proposed Loyalty Program features
-ROI maximization and risk mitigation
-Improved decision making via higher confidence in testing outcomes
balanced rigor vs testing speed and size
Identify measurable KPI Metrics
-Identify hypothesis and number of testing/control groups
-Identify KPIs where client can measure true lift in the shortest amount of time (e.g., increased onboard spend, 60-day rebooking rate
-Identify key population segments and determine whether they can feasibly support an A/B/n test
Identify Test and Control Groups
-Determine sample sizes and test duration using Power Analysis to ensure feasibility
-Select testing/control sailings to maximize similarity between testing groups using clustering and optimization techniques
-Optimize guest population to measure KPIs against using a matched-pairing design (not random) and indexing
Evaluate Test's Business Benefit
-Quantify difference in guest behavior through statistical tests to determine the signal from the noise
-Evaluate immediate business impacts of the pilot by monitoring short-term KPIs
-Monitor long-term guest behavior with more robust KPIs to augment findings from immediate results