Senior Data Scientist, Customer Analytics

About this role

Job Requisition ID #
26WD97732


Position Overview
We are looking for a Senior Data Scientist to join our Customer Analytics team, with a strong focus on predictive analytics across product usage and customer lifecycle.


In this role, you will develop models and insights to understand user behavior, predict churn and expansion, and drive strategies that improve product adoption and customer outcomes. You will also bring familiarity with emerging AI techniques to enhance analytical approaches and unlock additional value from data.


You will work closely with Customer Success, Product, and Go-to-Market teams to turn data into actionable recommendations.


Responsibilities

• Analyze product usage data to identify behavioral patterns, segmentation opportunities, and growth drivers
• Develop predictive models to analyze customer churn, retention, expansion, and product adoption
• Build customer health scores and predictive signals to support proactive customer success strategies
• Apply appropriate AI/ML techniques (e.g., advanced segmentation, pattern detection, NLP where relevant) to enhance insights
• Translate business questions into analytical frameworks and data science solutions
• Partner with Customer Success and Product teams to identify opportunities to improve engagement and reduce churn
• Generate actionable insights and recommendations to influence business decisions
• Communicate complex analyses clearly to both technical and non-technical stakeholders
• Collaborate with BI teams to embed predictive insights into dashboards and reporting

Minimum Qualifications

• 5–7+ years of experience in Data Science, Advanced Analytics, or similar roles
• Strong proficiency in Python (preferred) or R for data analysis and modeling
• Hands-on experience with predictive modeling techniques (e.g., regression, classification, clustering)
• Strong SQL skills and experience working with large-scale datasets
• Solid understanding of customer...