Economist/ Applied Scientist - Assortment Risk Management (all genders) at Zalando

Berlin, Berlin, Germany

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

E-commerce, RetailIndustries

Requirements

Master degree or above (PhD) in data science, statistics, mathematics, physics, economics or a related quantitative discipline with a strong theoretical foundation in machine learning methodologies. Command of causal inference and econometrics is a big plus
At least 3 years of industry experience (1 year with PhD degree) in developing anomaly detection and risk scoring, using both statistical methods and machine learning techniques
Extensive experience with Python and its associated data science libraries, including writing production quality code (not just notebooks). Proficiency with Databricks/Spark is a plus
Excellent verbal and written communication skills with a curious and self-starter mindset. Ability to unblock yourself, but also proactively request support when needed to remove roadblocks

Responsibilities

Actively contribute to the team roadmap, and work closely with product managers and engineers to identify areas of opportunity and resource requirements to deliver impactful projects
Conceptualize, prototype, and productionize state-of-the-art anomaly detection systems. Find root causes and solutions to new complex problems
Communicate technical problems and results effectively with other team members and also with (less technical) stakeholders. Educate them about your products and solutions
Be the owner of the whole development cycle of algorithms - from opportunity discovery to production. Iteratively improve models and explore the art of possibility (e.g. new data sources, new ways of structuring the problem)
Build model pipelines and streamline analysis processes, using common programming tools (e.g. Python, R, Scala, SQL, PyTorch, Tensorflow etc.)

Skills

Anomaly Detection

Machine Learning

Prototyping

Algorithm Development

Data Analysis

Statistics

Econometrics

Python

Root Cause Analysis

Stakeholder Communication

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