Senior Data Scientist: Store Performance & Operations

Catalyst Brands LLC; Dallas (TX); On-site; USD 97,000 - 162,000; Full time

Benefits offered by this job

Medical/dental/vision insurance start‑

Term life insurance

Paid vacation/holidays

401(k) Savings Plan with company match

associate discount on JCPenney merch

Job summary

Catalyst Brands LLC in Dallas uses data across 1,400 stores to deliver practical analytical solutions that improve store performance, labor effectiveness, and operations decisions. The Senior Data Scientist builds causal and predictive models with AI-enabled tools to drive sound business outcomes.

You will partner with Store Operations, Merchandising, and Finance, translating problems into analyses, setting up testing practices, and presenting insights to leadership.

Qualifications

• 6-10+ years of advanced analytics/data science experience, retail preferred or other operationally intensive environments with consumer exposure.
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related fields; Master’s degree is a plus.
• Demonstrated success delivering analytics solutions, including forecasting, optimization, and segmentation, using ML models and AI tools that drive measurable operational or financial outcomes.
• Strong analytical judgment in noisy data environments, with the ability to identify and validate relevant data, distinguish causal from predictive questions, make valid comparisons, surface bias and assumptions, and translate model outputs into sound business conclusions.
• Financial and operational acumen, able to interpret P&Ls and operational KPIs.

Responsibilities

• Store Operational Performance & Analytics
• Develops and applies analytics models that diagnose store performance drivers, including traffic, conversion, UPT, AUR, labor utilization, shrink, and improved margin profitability
• Identifies underperforming stores, quantifies root causes, and recommends targeted interventions (labor scheduling, product placement, assortment, training, process redesign).
• Designs and applies rigorous test-and-learn standards and approaches to evaluate operational and merchandising initiatives, translating results into clear recommendations and scalable actions.
• Advanced Analytics for Store Optimization and Insights
• Creates models to detect operational patterns, identify key causal factors, and predict outcomes based on leading indicators.
• Develops predictive and decision-support models for scheduling, staffing coverage, fulfillment flows, and allocation decisions that affect store performance and profitability.
• Transforms operational data—POS, labor, tasking, shrink events, foot traffic—into intelligence that supports rapid experimentation and decision-making.
• Continuously refines models and reporting to adapt to evolving store strategies, customer behaviors, and brand needs.
• Influence, Leadership & Communication
• Presents insights and performance diagnostics to store leadership, distilling complex analytics into clear narratives that guide operational strategy.
• Partners with Store Operations, Finance, Merchandising, and Field Leadership to align analytics outputs with business priorities.
• Guides cross-functional initiatives that drive measurable improvements in sales, labor productivity, customer satisfaction, and overall store profitability.

Skills

Advanced analytics

Forecasting

Optimization

ML models

Python

SQL

Communication

Education

Bachelor's degree in Data Science/CS/Statistics

Master's degree (preferred)

Tools

Python

SQL

Job description

Catalyst Brands LLC in Dallas uses data across 1,400 stores to deliver practical analytical solutions that improve store performance, labor effectiveness, and operations decisions. The Senior Data Scientist builds causal and predictive models with AI-enabled tools to drive sound business outcomes.

You will partner with Store Operations, Merchandising, and Finance, translating problems into analyses, setting up testing practices, and presenting insights to leadership.