RemoteFully remote within Europe; optional NYC office visits for 1–2 weeks per year.
Data & AnalyticsData Science
About the job
Requirements
Have 2–5 years of experience in data science, analytics, or statistics in similar SKU-driven businesses.
Have a solid grounding in statistics or operations research, including regression, hypothesis testing, multivariate analysis, or optimization, and be able to model relationships between variables and quantify drivers rather than merely flag correlations.
Have strong SQL and Python skills and hands-on Snowflake experience, including writing back to correct or clean production data rather than only read-only querying.
Have a track record of presenting findings and challenging assumptions directly with senior stakeholders and executives.
Set analysis priorities independently against business goals and deliver accurate, high-impact work in a timely manner.
Investigate why metrics appear as they do and continue examining the data until conclusions are supported.
Understand SKU-level economics, including sell-through, margin, inventory position, and lifecycle stage, and distinguish genuine productivity problems from data artifacts.
Treat data quality as part of the role by investigating root causes and directly correcting data rather than working around poor-quality data.
Have hands-on experience applying AI or machine learning in a business context to automate tasks and repetitive analysis.
Have strong English communication skills and a high ownership mindset.
Responsibilities
Work directly with the CEO and Product Strategy stakeholders to understand strategic questions and build analysis and reporting to address them.
Apply statistical methods, such as conjoint analysis and multivariate regression, to identify product attributes and characteristics that drive productivity, and provide data-driven guidance on portfolio expansion, contraction, or shifts.
Identify and control for confounders such as stock-outs, new or discontinued SKUs, and seasonality so reported trends reflect actual pattern performance.
Identify data inconsistencies in source systems, including ERP, web, and product master data; correct records systematically in Snowflake; and work with upstream platform owners to improve source-data accuracy and downstream analytics.
Present findings independently and clearly to executive audiences, adapting the message for technical and non-technical stakeholders.
Recommend and maintain recurring analytics and reporting that provide an accurate, timely snapshot of SKU productivity.
Use AI in the workflow to explore data faster, automate repetitive reporting, catch errors, and increase output as the SKU portfolio grows.
Desired Qualifications
Experience with Power BI or similar business intelligence tools alongside Snowflake.
Exposure to margin, pricing, or demand forecasting data.
Experience in retail, e-commerce, or luxury or home furnishings goods.
About Schumacher
Schumacher & Co. is an innovative interior design company that is disrupting the$150 billion-dollar global interior design industry. We are a technological leader on the design frontier, constantly pushing boundaries and striving for excellence. With over 500+ employees and growing, we are driven by a shared belief that design transforms life.We are dedicated to the mission of helping our customers “celebrate the feeling of home”. F. Schumacher & Co designs and produces some of the most beautiful fabrics, wallcoverings, trims, rugs, furniture, and accessories in the world. Our portfolio of products is broad, but they are united by a passion for design, a thirst for what is next, an appreciation for what’s come before, a drive to make our products with enormous care and attention for detail. F. Schumacher & Co is a globally recognized company with a myriad of showrooms both domestically and internationally.
Our competitive advantage in the industry is our people. We believe that our employees are our most important assets. F. Schumacher & Co is deeply anchored in our company core values which are as follows:
Preserve Our Entrepreneurial Spirit
Take Ownership & Accountability
Be Solutions-Oriented
Demonstrate Courage
Practice Adaptability
Embrace Collaboration
We empower our employees to live these values daily because we understand how it will positively impact the customer's journey. F. Schumacher & Co., also known as FSCO, is the parent company to many brands within our portfolio. This role is a 12 month contract and is a part of Data Insights & AI team
Role Overview
We're looking for a hands-on, Senior Quantitative Analyst, Product Portfolio (Statistical Modeling) to own analytics and reporting in support of our Portfolio Development team, with a specific focus on SKU productivity & capital allocation across a portfolio of 20,000+ SKUs and growing. This role will report directly to the Sr. Director of AI & Data Insights, but is expected to work directly with the CEO & Chief of Staff on a day-to-day basis.
This is not a role for someone who takes data at face value. You'll need to distinguish real signal from noise (e.g., a SKU selling poorly because it's out of stock, not because demand is weak), and when you find data that's wrong or inconsistent, you'll have the access and judgment to go into Snowflake and fix it — not just flag it and wait.
What You’ll Do
Work hands-on with CEO & Product Strategy stakeholders to understand key strategic questions, and then build analysis and reporting to address them directly
Use statistical methods (e.g. conjoint analysis, multivariate regression) to identify which product attributes and characteristics (e.g., color, pattern, material, price point, availability) drive productivity, and translate that into data-driven guidance on where the portfolio should expand, contract or shift
Cut through data noise at scale: systematically identify and control for confounders like stock-outs, new/discontinued SKUs, and seasonality so reported trends reflect real pattern performance
Identify data inconsistencies at the source (e.g., ERP, web, product master data) and directly and systematically correct records in Snowflake and work with upstream platform owners to improve the accuracy of source data and downstream analytics
Present findings clearly and independently to executive audiences, adapting the message for technical or non-technical stakeholders
Recommend and maintain recurring analytics & reporting to provide accurate and timely snapshot of SKU productivity
Use AI across your own workflow to explore data faster, automate repetitive reporting, catch errors, and multiply output given the scale and growth of the SKU portfolio
What we're looking for
2-5 years in data science, analytics, statistics in similar SKU-driven businesses
Solid grounding in statistics or operations research (e.g. regression, hypothesis testing, multivariate analysis, optimization). Able to move beyond descriptive reporting to model relationships between variables and quantify drivers, not just flag correlations
Strong SQL and Python, with hands-on Snowflake experience including writing back to correct or clean production data (not just read-only querying)
A track record of presenting findings and challenging assumptions directly with senior stakeholders and executives
Independent executor — sets analysis priorities against business goals without waiting for direction, and ships accurate, high-impact work in a timely manner
Curiosity — asks why the numbers look the way they do and keeps digging until the answer holds up, rather than reporting the first number that looks plausible
Thinks in terms of SKU-level economics: sell-through, margin, inventory position, lifecycle stage — and knows how to separate a true productivity problem from a data artifact
Treats data quality as part of the job, digging into root causes and correcting them directly rather than working around bad data
Hands-on experience applying AI/ML in a business context for task automation - automating repetitive analysis to spend more time on judgment calls
Strong English communication skills and a high ownership mindset
Nice to Have
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
What we offer
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
We are an Equal Opportunity Employer committed to diversity, inclusion, and equality in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.