Applied Scientist - ZEOS Data Science and Algorithms (all genders) at Zalando

Berlin, Berlin, Germany

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, Logistics, FashionIndustries

Requirements

Educational background in a quantitative field - Masters degree or higher preferred
3+ years of hands-on industry experience in an Applied Scientist, Data Scientist, or Research Scientist role, applying scientific methods to solve business problems
Industry demonstrated knowledge and skills in at least one of the following areas: Machine Learning or Deep Learning, particularly applied for time-series forecasting (e.g., LGBM, ARIMA, Prophet)

Responsibilities

Build innovative and impactful ML/Optimization systems for B2B logistics partners
Build various ML/DL forecasting models (demand, returns, lead-times)
Develop stochastic inventory optimization solutions
Create recommendation services that generate key insights for partners to make data-driven decisions about article assortment and inventory
Work in a cross-functional team with Applied Scientists, Machine Learning Engineers, Product Managers, Data Engineers, and Software Engineers
Shape the product from day one by defining problems with product and user research, influencing the product roadmap, and identifying new opportunities
Solve complex scientific problems in stochastic inventory optimization, multi-echelon demand forecasting (including returns and lead-times), and recommender systems for assortment planning
Take end-to-end ownership from initial research and prototyping to production deployment, defining success metrics, collaborating with engineers for scalable services, and monitoring real-world impact on partner KPIs
Drive impact at a multi-merchant scale by building platform-level services across hundreds of diverse partners

Skills

Machine Learning

Deep Learning

Forecasting Models

Demand Forecasting

Operations Research

Stochastic Optimization

Inventory Optimization

Recommendation Systems

Python

Data Science

Zalando

European online fashion retail marketplace

About Zalando

Zalando operates as a major e-commerce platform in Europe, focusing on fashion and lifestyle products. It allows customers to shop for a wide variety of clothing, shoes, and accessories from both established and emerging brands through its website and mobile app. The platform generates revenue by selling products directly to consumers and earning commissions from third-party sellers who list their items on Zalando. A key feature of Zalando is its commitment to providing a smooth shopping experience, which includes free delivery and returns, a large selection of products, and personalized recommendations. Zalando Plus, a premium membership program, offers additional benefits like faster shipping and exclusive deals. The company distinguishes itself from competitors by investing in technology and logistics to enhance customer satisfaction and streamline operations.

Berlin, GermanyHeadquarters

2008Year Founded

$149.8MTotal Funding

IPOCompany Stage

Consumer Software, Consumer GoodsIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Flexible Work Hours

Remote Work Options

Paid Vacation

Hybrid Work Options

Company Equity

Professional Development Budget

Visa Support

Wellness Program

Risks

Acquisition of About You may strain financial resources and affect profitability.

Virtual Fitting Room may face technological challenges and user adoption issues.

Competition from Vestiaire Collective's AI advancements could threaten Zalando's market position.

Differentiation

Zalando offers a seamless shopping experience with free delivery and returns.

The company invests heavily in technology for efficient operations and customer satisfaction.

Zalando's wide selection includes both well-known and emerging fashion brands.

Upsides

Acquisition of About You could expand market share in European fashion e-commerce.

Virtual Fitting Room may reduce return rates and improve customer satisfaction.

Zalando Partner platform could enhance third-party seller experience and increase commission revenue.

Land your dream remote job 3x faster with AI

Try Jobo Free