Zalando size fit

 1. Core purpose of the role – Helping customers buy clothes that fit

• The main goal is to help customers choose the right size and fit when shopping online, reduce returns, increase satisfaction, and grow revenue

• You are not mainly building ML models:
  you are measuring, analysing and translating the impact of AI/ML Size & Fit solutions into business value

2. Your position in the organization

• You act as a bridge between:

  • Applied Science / ML teams (who build Size & Fit algorithms)

  • Product teams (who design customer-facing features)

  • Business & Commercial teams (who care about revenue, margin, KPIs)

• You turn technical outputs into business-relevant insights and decisions

3. What you would do day-to-day

1. Analyse Size & Fit data

   • Identify patterns: returns due to too small/too large, by brand, category, country

   • Compare size charts, garment measurements and brand consistency

2. Design and analyse A/B tests

   • Example: test a new size recommendation feature: does it reduce returns?

   • Measure impact on conversion, return rate, NPS, revenue

3. Translate data into business language

   • “Model accuracy increase 3%”  lead to “Return rate reduction 1.2%, saving €X million”

4. Commercial analytics

   • Identify revenue and margin opportunities from improving Size & Fit

5. Strategic partner to Product & Business

   • Not just reporting, but shaping product and commercial strategy

4. Why this role is critical for Zalando

• Size & Fit is:

  • The number 1 driver of returns in fashion e-commerce

  • A direct lever on logistics cost, customer experience, and sustainability

• It is a problem that is:

  • Highly data-driven

  • Highly commercial

  • Highly human (how people feel wearing clothes)

5. What kind of person they are looking for
Not just a coder, but someone who:

1. Is strong in business-oriented analytics

   • Understands KPIs: conversion, return rate, margin, revenue

2. Has solid technical skills

   • Advanced SQL, Python, Spark

   • Statistical testing, A/B testing

3. Thinks in product and commercial terms

   • Not only “is the model good?”

   • But “what does this model do for the business?”

4. Communicates well across teams

   • Can speak to ML engineers and business managers alike

6. Why this role fits your profile particularly well
Based on your background:

• Finance + Data Science → ideal for:

  • Translating data into financial impact

  • Measuring commercial value

• Experience:

  • Heineken (Assistant to Finance Director) → strong KPI and commercial logic

  • SCB (Senior Data Analyst) : advanced analytics & stakeholders

• ESG & sustainability experience:

  • Better Size & Fit , fewer returns, lower CO₂ from logistics, strong ESG narrative

• International exposure:

  • Perfect match for Zalando’s multicultural environment

7. One-sentence summary
 You are the person who uses data to quantify and optimize the business impact of AI/ML solutions that help customers buy clothes that truly fit, thereby increasing profitability, reducing returns, and improving customer experience.