
501 - 1000 employees
Founded 1889
👥 B2C
🛒 Retail
👗 Fashion
B2C • Retail • Fashion
F. Schumacher & Co. is a premier company in the home decor industry, offering a rich selection of high-end designer fabrics, wallpapers, trims, bed and bath products, pillows, accessories, rugs, antiques, furniture, and paint. Established in 1889, the company is known for its commitment to timeless design and exceptional quality, serving as a leading resource for interior decoration. Schumacher also collaborates with renowned designers and is dedicated to providing luxury products that transcend the ordinary. With a long history of innovation, F. Schumacher & Co. is a trusted name for those seeking to elevate their home decor.
🔥 12 hours ago
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501 - 1000 employees
Founded 1889
👥 B2C
🛒 Retail
👗 Fashion
B2C • Retail • Fashion
F. Schumacher & Co. is a premier company in the home decor industry, offering a rich selection of high-end designer fabrics, wallpapers, trims, bed and bath products, pillows, accessories, rugs, antiques, furniture, and paint. Established in 1889, the company is known for its commitment to timeless design and exceptional quality, serving as a leading resource for interior decoration. Schumacher also collaborates with renowned designers and is dedicated to providing luxury products that transcend the ordinary. With a long history of innovation, F. Schumacher & Co. is a trusted name for those seeking to elevate their home decor.
• Work hands-on with the CEO and Product Strategy stakeholders to understand strategic questions and build analysis and reporting • Use statistical methods such as conjoint analysis and multivariate regression to identify product attributes driving productivity • Translate analysis into data-driven guidance on portfolio expansion, contraction, or shifts • Identify and control for confounders such as stock-outs, new/discontinued SKUs, and seasonality • Identify data inconsistencies at the ERP, web, and product-master-data sources • Correct records in Snowflake and work with upstream platform owners to improve source-data and downstream-analytics accuracy • Present findings independently to technical and non-technical executive audiences • Recommend and maintain recurring analytics and reporting on SKU productivity • Use AI to explore data, automate repetitive reporting, catch errors, and increase output
• 2-5 years in data science, analytics, statistics in similar SKU-driven businesses • Solid grounding in statistics or operations research, including regression, hypothesis testing, multivariate analysis, and optimization • Strong SQL and Python • Hands-on Snowflake experience, including writing back to correct or clean production data • Track record of presenting findings and challenging assumptions directly with senior stakeholders and executives • Independent execution against business goals • Curiosity and ability to investigate underlying causes of data patterns • Understanding of SKU-level economics: sell-through, margin, inventory position, and lifecycle stage • Treats data quality as part of the job, including root-cause investigation and direct correction • Hands-on experience applying AI/ML in a business context for task automation • Strong English communication skills and a high ownership mindset • Experience with Power BI or similar BI tools alongside Snowflake • Exposure to margin, pricing, or demand forecasting data • Experience in retail, e-commerce, or luxury/home furnishings goods
• Competitive salary and benefits, based on experience • Fully remote work within Europe, with optional time in the NYC office (1–2 weeks per year) • Direct visibility with the CEO, with real influence on Product Strategy and Merchandising decisions • Collaborative, inclusive, and low-ego working environment
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