Senior Data Scientist – Store Performance, Operations

Job not on LinkedIn

🕒 August 5

🤠 Texas – Remote

🤠 Texas – Remote

💵 $97.2k - $162k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Catalyst Brands India

WebsiteLinkedInAll Job Openings

501 - 1000 employees

👗 Fashion

🛒 Retail

Fashion • Retail

Catalyst Brands India is a consumer-focused holding company that brings together the heritage and operations of six apparel and lifestyle brands under a single organization. The company positions these brands to reach and serve diverse working families across America, emphasizing accessible fashion, casual lifestyle, and outdoor-inspired apparel while aiming to scale distribution, influence, and brand impact.

📋 Description

• Develop and apply analytics models to diagnose store performance drivers, including traffic, conversion, UPT, AUR, labor utilization, shrink, and margin profitability • Identify underperforming stores, quantify root causes, and recommend targeted interventions such as labor scheduling, product placement, assortment, training, and process redesign • Design and apply rigorous test-and-learn standards to evaluate operational and merchandising initiatives • Create models to detect operational patterns, identify causal factors, and predict outcomes from leading indicators • Develop predictive and decision-support models for scheduling, staffing coverage, fulfillment flows, and allocation decisions • Transform POS, labor, tasking, shrink-event, and foot-traffic data into intelligence supporting experimentation and decision-making • Continuously refine models and reporting for evolving store strategies, customer behaviors, and brand needs • Present insights and performance diagnostics to store leadership • Partner with Store Operations, Finance, Merchandising, and Field Leadership to align analytics with business priorities • Guide cross-functional initiatives improving sales, labor productivity, customer satisfaction, and store profitability

🎯 Requirements

• 6–10+ years of advanced analytics/data science experience; retail or operationally intensive consumer environments preferred • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field • Master’s degree is a plus • Demonstrated success delivering forecasting, optimization, and segmentation solutions using ML models and AI tools • Ability to drive measurable operational or financial outcomes • Strong analytical judgment in noisy data environments • Ability to identify and validate relevant data, distinguish causal from predictive questions, make valid comparisons, and surface bias and assumptions • Ability to translate model outputs into sound business conclusions • Financial and operational acumen, including interpreting P&Ls and operational KPIs • Influential written and verbal communication skills • Ability to guide decision-making without direct authority • Ability to promote intellectual honesty, constructive skepticism, shared ownership, continuous improvement, and practical rigor • Proficiency in Python and SQL • Ability to build and validate reproducible workflows, including AI-assisted code

🏖️ Benefits

• Medical/dental/vision insurance starting on day one • Term life insurance • Paid vacation and holidays • 401(k) Savings Plan with company match • Associate discount on JCPenney merchandise • Training and development programs • Opportunities for advancement • Collaborative and supportive culture