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# Data Scientist

- **Company:** VCA Animal Hospitals
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Salary:** $107,656.0 - $161,485.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, A/B Testing, Big Data, Data Cleansing, Information Engineering, Data Visualization, Decision Support Systems, Python (Programming Language), Machine Learning, NumPy, Power BI, SQL Databases, Tableau (Software), Model Validation, Pandas, Matplotlib, Scikit Learn, Information Technology, Optimization Algorithms, Xgboost, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://www.beyondlosangeles.com/job.asp?id=3377291981&tx=JP3731FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Operations Research, or related field. Master's degree or PhD in related field is preferred.
 * 5+ years of experience in data science, advanced analytics, or statistical modeling
 * Experience in pricing, revenue optimization, demand forecasting, or commercial analytics is preferred.

_*All degrees will be deemed "or equivalent combination of education and experience" unless absolutely required to do the job (i.e., DVM degree for Veterinarian, Law degree for Attorney, etc.)._

PREFERRED SKILLS AND QUALIFICATIONS:

 * Python (preferred libraries: scikit-learn, XGBoost, pandas, NumPy, matplotlib)
 * SQL (large-scale structured datasets)
 * Statistical modeling, machine learning, and optimization techniques
 * Data visualization tools (Power BI/Tableau or equivalent) and executive presentations
 * Advanced Microsoft Excel (modelling and communication)

## Description

Operating at the intersection of data science, pricing strategy, and business decision-making, the Data Scientist translates analytical questions into robust statistical and machine-learning models (e.g., price elasticity, demand forecasting, and segmentation) and translates model outputs into clear, actionable insights for pricing leaders and cross-functional stakeholders. This role also supports a test-and-learn culture by applying experimental and measurement approaches (e.g., A/B testing) to quantify the impact of pricing actions and promotional strategies.

In addition to hands-on model development, the Data Scientist is responsible for validating analytical approaches, documenting assumptions and limitations, and partnering with analysts and technical teams (e.g., data engineering) to enable scalable data pipelines and production-ready model deployment into dashboards and decision tools. Reporting to the Director, Pricing Strategy & Insights, this role helps elevate the analytical maturity of the Pricing organization by introducing repeatable modeling techniques, best practices, and forward-looking insights that strengthen how pricing decisions are evaluated, governed, and executed.

This role requires associates to work a hybrid schedule out of one of the MVH North America Hub Locations - Los Angeles, CA.

Essential Responsibility/Tasks:

 * Advanced Analytics & Modeling: Design, build, and maintain statistical and machine-learning models to support pricing decisions, including price elasticity, demand forecasting, segmentation, and drivers of utilization and spend.
 * Pricing Optimization & Decision Support: Develop analytical approaches and (as appropriate) optimization methods that account for profitability and business constraints; translate model outputs into practical pricing recommendations and scenario implications for leaders.
 * Experimentation & Impact Measurement: Design and analyze statistical experiments (e.g., A/B tests) to evaluate pricing and promotional effectiveness; ensure results are clearly communicated and inform future pricing actions.
 * Data Engineering Partnership & Data Preparation: Prepare and transform large-scale datasets using SQL and Python/R; partner with data engineering and analytics teams to ensure data quality, consistent definitions, and scalable pipelines.
 * M odel Validation, Documentation & Governance Enablement: Validate models for accuracy and stability; document methodologies, assumptions, and limitations; support responsible use of analytics in governance and decision forums.
 * D eployment & Enablement: Support operationalization of models into dashboards, tools, and recurring decision processes (including monitoring and refresh); train/enable analyst partners on model interpretation and usage.
 * O ther Related Duties as Assigned: Support ad hoc analyses, leadership requests, and cross-functional initiatives related to pricing, promotions, or growth strategy.


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