F. Schumacher & Co.
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.
Senior Quantitative Analyst
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F. Schumacher & Co.
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.
📋 Description
• Work hands-on with CEO and Product Strategy stakeholders to understand key strategic questions, and build analysis and reporting to address them • Use statistical methods such as conjoint analysis and multivariate regression to identify product attributes driving productivity and translate findings into portfolio guidance • Identify and control for confounders such as stock-outs, new/discontinued SKUs, and seasonality • Identify data inconsistencies at the source and correct records in Snowflake while improving upstream data accuracy • Present findings clearly to technical and non-technical executive audiences • Recommend and maintain recurring analytics and reporting on SKU productivity • Use AI across the workflow to explore data faster, automate repetitive reporting, catch errors, and increase output
🎯 Requirements
• 2–5 years in data science, analytics, or 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 skills • Hands-on Snowflake experience, including writing back to correct or clean production data • Track record of presenting findings and challenging assumptions with senior stakeholders and executives • Ability to set analysis priorities independently against business goals and deliver accurate, high-impact work promptly • Understanding of SKU-level economics, including sell-through, margin, inventory position, and lifecycle stage • Hands-on experience applying AI/ML in a business context for task automation • Strong English communication skills and high ownership mindset
🏖️ Benefits
• Competitive salary and benefits, based on experience • Fully remote work within Europe, with optional time in our 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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