Decision Science Analytics

Decision Science

San Antonio, TX, United States

12 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

A/B Testing Databases Data Mining Data Presentation Python (Programming Language) Machine Learning SAS (Software) SQL Databases Tableau (Software) Delivery Pipeline Information Technology Streamlit Framework

Job description

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.

Requirements

Must have skill: Python, Streamlit, SAS, SQL, Tableau, Predictive Modeling, A/B Testing, Customer Analytics & Retention Modeling, * 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., * 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.