Senior Data Scientist – Store Performance, Operations

Catalyst Brands India

Senior Data Scientist using advanced analytics to improve store performance at Catalyst Brands. Collaborating with operations, merchandising, and finance teams to deliver actionable insights and recommendations.

Posted 5/22/2026full-timeDallas • Texas • 🇺🇸 United StatesSenior💰 $97,200 - $162,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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
Creates models to detect operational patterns, segments store behaviors, and predicts sales 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
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.

Requirements

What you’ll need

6-10+ years of advanced analytics/data science experience, ideally within retail or operationally intensive environments
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related fields; Master’s degree is a plus
Demonstrated success delivering analytics solutions using analytics and AI solutions that drive measurable operational or financial outcomes
Critical thinking and strategic problem-solving, capable of diagnosing complex store challenges using data
Financial and operational acumen, able to interpret P&Ls and operational KPIs
Influential communication, able to guide decision-making without direct authority
Experience applying forecasting, optimization, classification, segmentation, or related methods to operational or commercial business problems
Strong Python and SQL skills, with experience building reproducible analytical workflows
Ability to communicate analytical findings clearly through visualizations, written summaries, and business-facing presentations
Experience designing or supporting sound measurement, pilot, and validation approaches for analytics-driven decisions.

Benefits

Comp & perks

Medical/dental/vision insurance starting on day one
Term life insurance
Paid vacation/holidays
401(k) Savings Plan with company match
Associate discount on JCPenney merchandise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

analytics modelspredictive modelingdecision-support modelsdata transformationforecastingoptimizationclassificationsegmentationPythonSQL

Soft Skills

critical thinkingstrategic problem-solvinginfluential communicationdata interpretationguiding decision-makingpresenting insightscollaborationadaptabilityanalytical communicationcross-functional leadership