Pricing Data Scientist: Hybrid Analytics for Revenue

VCA Animal Hospitals; Los Angeles (CA); Hybrid; USD 108,000 - 161,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Paid vacation/sick days

401(k)

Employee pet discounts

Job summary

VCA Animal Hospitals is seeking a Data Scientist to drive pricing strategy and revenue optimization using advanced analytics and predictive modeling. The role collaborates with pricing leaders and cross-functional teams to translate model outputs into actionable pricing recommendations.

Responsibilities include building ML models, performing experiments, and deploying analytics into dashboards and decision tools. Hybrid work with LA hub is required.

Qualifications

• Bachelor’s degree in data-related field; advanced degrees preferred.
• 5+ years of experience in data science or advanced analytics.
• Experience in pricing, revenue optimization, or commercial analytics is preferred.

Responsibilities

• Design, build, and maintain statistical and machine-learning models for pricing decisions.
• Develop analytical approaches and optimization methods for profitability and constraints.
• Design experiments (A/B tests) to quantify pricing and promotional impact.
• Prepare and transform large-scale datasets using SQL and Python/R; ensure data quality.
• Validate models, document methodologies, and support governance and decision processes.
• Deploy models into dashboards/tools and train analysts on interpretation and usage.
• Support ad hoc analyses and cross-functional initiatives.

Skills

Python

SQL

Statistics

Machine Learning

Optimization

Education

Bachelor's degree in Data Science/Statistics/Math/CS

Master's degree or PhD preferred

Tools

Power BI

Tableau

Excel

scikit-learn

XGBoost

Pandas

NumPy

Job description

VCA Animal Hospitals is seeking a Data Scientist to drive pricing strategy and revenue optimization using advanced analytics and predictive modeling. The role collaborates with pricing leaders and cross-functional teams to translate model outputs into actionable pricing recommendations.

Responsibilities include building ML models, performing experiments, and deploying analytics into dashboards and decision tools. Hybrid work with LA hub is required.