Data Scientist & Retention Analyst

Required Skills & Experience

-Experience as a Data Scientist, Customer Analytics Analyst, Retention Analyst, Marketing Analyst, or similar analytics role. -Strong experience building predictive models for churn, retention, customer segmentation, and customer lifetime value (CLV). -Advanced proficiency in SQL for querying and analyzing large customer datasets. -Strong experience with Python or R for statistical analysis, forecasting, and machine learning model development. -Experience analyzing customer behavior, loyalty programs, subscriptions, memberships, or passholder data. -Proven ability to develop and maintain retention forecasting and churn-risk models. -Experience measuring the effectiveness of marketing campaigns, promotions, offers, customer engagement initiatives, or loyalty programs. -Strong knowledge of customer lifecycle analytics, including acquisition, engagement, renewal, retention, and churn. -Experience creating dashboards and KPI reporting using Tableau, Power BI, Looker, or similar BI tools. Ability to translate complex analytical findings into business recommendations and actionable retention strategies. Experience partnering with business stakeholders to define metrics, KPIs, and success measurements. Strong understanding of statistical methods such as regression analysis, forecasting, hypothesis testing, and segmentation.

Job Description

Insight Global is looking for a Data Scientist for Visitation & Retention will focus on passholder and membership behavior, retention forecasting, churn risk identification, perk effectiveness, lifecycle campaign measurement, and customer lifetime value. This role provides analytical support to the Visitation & Retention function and helps turn guest behavior data into measurable retention and visitation strategies.

Key responsibilities

· Develop churn-risk models and retention forecasting for passholders and members. · Analyze visitation patterns by customer type, lifecycle stage, product, tenure, and engagement behavior. · Measure the effectiveness of Pass Perks, membership benefits, renewal offers, and targeted lifecycle campaigns. · Partner with Membership Manager and Visitation & Retention leadership to prioritize analytics needs and build KPIs. · Quantify the revenue and visitation impact of retention, loyalty, collections, and engagement initiatives. · Build dashboards and recurring reporting on active base, churn, renewal rates, collections, perk usage, and customer behavior. Translate insights into actions for CRM, pricing, benefit design, and park execution.