Data Scientist - Modeling(Retention, Churn, CLV)
The Data Scientist at Confidential Client is responsible for developing and implementing statistical and machine learning models focused on retention, churn, and customer lifetime value to support business decision-making. This role involves collaborating with multiple business units, managing large datasets, creating automated analytical processes, and effectively communicating insights to stakeholders to drive business improvements in the insurance sector.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Insurance.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
- Build, validate, and productionize statistical and machine learning models focused on retention, churn prediction, and customer lifetime value (CLV).
- Analyze large insurance and customer datasets to identify drivers of attrition and lifetime value.
- Collaborate with product, underwriting, marketing, and business stakeholders to turn model outputs into measurable actions (targeting, pricing, retention campaigns).
- Design experiments and A/B tests to measure model-driven interventions and quantify lift.
- Monitor model performance in production, implement governance and model-risk controls, and iterate to maintain accuracy and fairness.
- Communicate findings clearly to technical and non-technical audiences using dashboards, reports, and presentations.
Who You Are (Qualifications)
- Experienced data scientist with a proven track record in predictive modeling for retention, churn, or CLV.
- Comfortable working with messy, transactional insurance data and translating analyses into business value.
- Strong analytical thinking and the ability to explain complex models to stakeholders.
- Self-directed and collaborative — able to lead projects and work cross-functionally with product and business teams.
- Commitment to ethical model development and fairness in predictive analytics.
Nice to Have
- Previous experience in the insurance industry or with insurance-specific datasets.
- Prior exposure to deploying models into production and setting up performance monitoring.
- Experience designing experiments or A/B tests tied to retention or monetization initiatives.
Work Arrangement & Location
This position supports hiring across the United States. The listed opportunity is for Boardman, OR; local/state employment rules and eligibility will apply.
Compensation & Benefits
Compensation and benefits are set by the confidential client. Specific salary or benefit details will be provided during the interview process or when required by applicable state pay-transparency laws.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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