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

Hybrid in San Antonio, TX, US • Posted 20 hours ago • Updated 1 hour ago
Contract W2
Contract Independent
Contract Corp To Corp
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Machine learning
  • Data Analysis
  • SQL databases
  • databases
  • Dashboards
  • information technology
  • Data Science
  • Data Mining
  • Marketing
  • Metrics
  • A/B testing
  • Customer Insights
  • Analytical Procedures
  • Delivery Pipeline
  • Python (Programming Language)
  • Modelling Skills
  • Visualisation
  • SAS (Software)
  • Knowledge of Statistics
  • Tableau (Software)
  • Customer Analytics
  • Predictive Modelling
  • Streamlit Framework
  • Cross Selling
  • Customer Lifecycle Management
  • Customer Loyalty Programs
  • Customer Retention
  • Data Presentation
  • Decision Theories
  • Economy
  • Execution of Experiments
  • Forecasting Skills
  • Knowledge of Mathematics
  • Market Segmentation
  • Retention Rate

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10421780
  • Position Id: 2026-63996
  • Posted 20 hours ago
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