Offer summary

Qualifications:

Minimum of 15 years of IT experience, Proficient in Pyspark and Python, Experience with statistical methods for sample size determination, Familiarity with Loyalty Programs and A/B testing frameworks..

Key responsabilities:

Optimize testing designs for better business outcomes

Estimate P&L impact of Loyalty Program features

Identify and evaluate key performance indicators (KPIs)

Monitor both short-term and long-term guest behavior metrics.

Job description

This is a remote position.

ITTConnect is seeking a Sr Data Scientist with experience in Loyalty Programs and/or Travel & Hospitality to join our team. This is a new position with a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. Their client is in the Cruise / Travel Industry.

Job location: Client is in Miami area, locals would be preferred, remote is OK.

Responsibilities:

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

IIdentify 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

Requirements

Minimum of 15 years of IT experience
Experience leading requirements gathering, design and delivery
Must have experience with Pyspark, Python and power analyses and determining sample sizes through statistical methods
Must have experience with segmentation and evaluation of A/B tests.
Experience with Data Science In-Market Testing Framework
Highly desirable experience with Loyalty Programs
Experience working for large consulting / system integrators in client-facing roles
Desirable experience in Travel & Hospitality industry