What are the responsibilities and job description for the Data Scientist (Travel / Loyalty Programs) position at ITTConnect?
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
