Join JCPenney in Dallas as a Data Scientist focused on planning and allocation. You will develop and operationalize analytical models, insights, and decision tools to optimize inventory placement, forecasting, allocation, replenishment, and product flow, collaborating with Planning & Allocation, Merchandising, Merchandise Operations, Supply Chain, Finance, and Technology. This onsite role emphasizes collaboration, clear business impact, and ongoing model refinement as assortments and customer behavior evolve.
Benefits
- Medical, dental, and vision coverage for you and eligible dependents
- Term life insurance
- Paid vacation and holidays to support work‑life balance
- 401(k) with company match to help you save for the future
- Associate discount on Catalyst Brands merchandise
- Eight paid holidays per year for eligible paid vacation associates
- Additional compensation for store hourly associates scheduled on a designated holiday
Salary: USD 81,000 to 135,000 per year
Responsibilities
- Lead the development of analytics and models that support allocation, replenishment, sizing, assortment optimization, and grading.
- Translate complex data into clear, explainable insights to inform business strategies.
- Define and govern business rules, constraints, and guardrails embedded in AI decisioning tools.
- Analyze sales trends, localization, and lifecycle dynamics to improve buys and in-season management.
- Build tools and dashboards that enable faster, data‑driven decisions.
- Partner cross-functionally with Planning & Allocation, Merchandising, Supply Chain, Finance, and Technology to drive adoption, trust, and measurable outcomes.
- Present insights to senior leaders with a focus on decision clarity, impact, and execution.
- Continuously refine models, assumptions, and tools as assortments and strategies evolve.
- Collaborate with technology and data teams while remaining accountable for business outcomes, not IT delivery.
Requirements
- Bachelor’s or Master’s degree in Data Science, Advanced Analytics, Statistics, Mathematics, Finance, or a related field.
- 7+ years of experience in analytics or data science, preferably within planning, allocation, merchandising, or supply chain.
- Proven experience embedding analytics into business decision workflows, not just reporting.
- Strong proficiency in Python or R and SQL.
- Demonstrated ability to support and influence merchandising strategy through data‑driven insights.
- Clear communication skills with the ability to explain AI‑driven decisions to non‑technical partners.
- Hands‑on experience with allocation systems, replenishment logic, sizing, or grading strategies.
- Familiarity with inventory and planning KPIs such as sell‑through, weeks of supply, service level, and margin impact.
- Experience working with cloud data platforms and BI tools (Power BI, Tableau).
Technologies
- Python
- R
- SQL
- Power BI
- Tableau
What success looks like
- Allocation, replenishment, and sizing decisions are trusted, explainable, and consistently data-driven.
- measurable improvements in inventory productivity, in‑stock performance, and customer experience.
- High adoption of decision tools by Planning & Merchandising teams.
- Analytics scaled from pilots into core business workflows.
What you get
- Competitive benefits package including medical, dental, and vision, term life insurance, paid vacation/holidays, and 401(k) with company match.
- All associates eligible for an associate discount on Catalyst Brands merchandise.
- Eight paid holidays per year for associates eligible for paid vacation.
- Additional compensation for store hourly associates scheduled on a designated holiday.
About JCPenney
JCPenney is a shopping destination for diverse, working American families, anchored in inclusivity. The brand offers a broad range of fashion, home, beauty, and jewelry from national and private brands, with personal services such as salon, portrait, and optical. With a global team of about 50,000 associates, JCPenney emphasizes value, quality, and everyday convenience for customers.
