Contract role: Decision Science Analytics at San Antonio, TX (Onsite from day 1)

Decision Science Analytics

San Antonio, TX (Onsite from day 1)

2 Year

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.