Senior Retail Decision Scientist — Predictive Analytics

Calculated Hire; San Antonio (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A major retail analytics firm in San Antonio is seeking a Senior Data Scientist to focus on predictive analytics and advanced modeling for business decision-making. The role includes building models to evaluate business decisions and analyzing complex data sets. Candidates must have 5+ years of experience and a degree in a related field, with strong SQL and Python skills. This position requires strong communication abilities to translate technical insights into actionable business recommendations.

Qualifications

• 5+ years of experience in data science, decision science, or advanced analytics.
• Experience in retail, grocery, CPG, restaurants, or consumer behavior analytics strongly preferred.
• Comfortable working in ambiguous environments without a predefined path.

Responsibilities

• Build predictive and scenario-based models to evaluate business decisions.
• Analyze large datasets including transactional, operational, and behavioral data.
• Translate technical findings into clear business narratives.

Skills

SQL

Python

Predictive modeling

Causal reasoning

Business translation

Education

Bachelor’s degree in Data Science, Analytics, Mathematics, Statistics

Master’s degree strongly preferred

Tools

Spark MLlib

R

C/C++

Job description

A major retail analytics firm in San Antonio is seeking a Senior Data Scientist to focus on predictive analytics and advanced modeling for business decision-making. The role includes building models to evaluate business decisions and analyzing complex data sets. Candidates must have 5+ years of experience and a degree in a related field, with strong SQL and Python skills. This position requires strong communication abilities to translate technical insights into actionable business recommendations.