ABOUT THE TEAM Department: Supply & Demand Reports to: VP Pricing & Forecasting Team Size: <10 Recruiter: Almog Greenberg, almog.greenberg@zalando.de
As a Data Science Lead for Pricing & Forecasting, you will be responsible for the all data science aspects in some of Zalando’s most critical products. You will build first-class machine learning products that forecast the demand for the 300k+ items that we offer our customers. Using your excellent research skills, you will try to better predict our order cancellation rates and foresee our order return rates. You will lead, grow and mentor a team of data scientists developing state of the art machine learning solutions, pushing new data science features into production. Your work will impact the millions of Zalando shoppers, the bottom line revenue of our company and of course countless internal teams (from merchandising to markets to operations) that are dependent on the insights you’ll produce.
WHERE YOUR EXPERTISE IS NEEDED
- Lead the team’s data science initiatives, such as price optimizations, discount recommendations and order return predictions
- Analyze data and features, explain trade-offs of various solutions and build sophisticated algorithms and models for pricing-related forecasts and recommender systems, such as demand, returns, cancellations, and discounts
- Drive problem definitions by working closely with product and business to understand the requirements, define critical metrics and set expectations
- Apply research, innovation and technology to develop highly scalable and robust systems
WHAT WE’RE LOOKING FOR
- Phd/MSc in a highly quantitative field, together with a proven track record in research and innovation in the field of data science and machine learning
- Proficiency in the latest technologies and processes to transform an insight into a model and to deploy a highly scalable service
- Fluency in ML frameworks (TensorFlow, R), SQL/NoSQL, AWS and an ability to code (preferably in Python)
PERKS AT WORK
- Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events
- Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
- Extensive onboarding, mentoring and personal development opportunities and an international team of experts
- Relocation assistance for internationals, PME family service and parent & child rooms* (*available only in select locations)
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfil our customers demand. The Pricing and Forecasting engineering team uses cutting edge technology, data science and machine learning, to forecast demand and pricing with a focus on business and customer experience. Partnerships happen with all key engineering and product teams, business and customer experience teams.
Please note that all applications must be completed using the online form - we do not accept applications via e-mail.
Link: https://jobs.zalando.com/