Position: Decision Science Analytics
Location: San Antonio, TX***Onsite***
Duration: 1 Years
Must have skill: Python, Streamlit, SAS, SQL, Tableau, Predictive Modeling, A/B Testing, Customer Analytics & Retention Modeling
Job Description:
Required Experience:
4+ years in data science, advanced analytics, or a related quantitative role focusing on customer behavior.
Domain Knowledge: Strong understanding of customer lifecycle metrics, loyalty programs, and retention strategies. Education: Bachelor's or Master's degree in Statistics, Economics, Computer Science, Mathematics, or a related field.
Responsibilities:
Predictive Modeling: Build machine learning models to forecast customer churn and identify cross-sell or upsell opportunities.
Customer Segmentation: Analyze behavior patterns to group customers and target them with personalized retention campaigns.
Experimentation: Design and execute A/B tests to measure the impact of retention and deepening initiatives.
Data Storytelling: Translate complex data insights into clear recommendations for marketing and product teams.
Performance Tracking: Build dashboards and reports to monitor key retention metrics like churn rate, retention rate, and lifetime value.
Qualifications Languages:
Advanced proficiency in Python and SAS for advanced analytics and predictive modeling.
Database: Strong expertise in SQL for complex data extraction, manipulation, and pipeline creation.
Visualization: Expert-level skills in Tableau to build interactive dashboards and track customer metrics.
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