Senior Applied Scientist at Zalando

Berlin, Berlin, Germany

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, FinTech, PaymentsIndustries

Requirements

Passion for researching and exploring new machine learning methods and data sources to improve model performance
Hands-on experience in productionizing ML algorithms, from data collection and model development to deployment and monitoring
Collaborative team player who thrives in a cross-functional environment, working with applied scientists, software engineers, and product managers to deliver business results
Ability to deal well with ambiguity and have a pragmatic approach to problem-solving
Proficiency in Python and experience processing large-scale datasets using frameworks like Apache Spark
Experience in payments, risk, or fraud is a plus (domain knowledge and business acumen critical alongside technical skills)
Passion for data

Responsibilities

Handle the full machine learning lifecycle, including deep data exploration, model development, deployment, and monitoring
Translate new research findings into robust, real-time systems with a production mindset
Find, understand, and leverage diverse and changing fraud patterns to protect systems
Drive innovation and improve models through research, design, and development of new ML features to create measurable business impact
Develop and maintain scalable ML pipelines

Skills

Key technologies and capabilities for this role

Machine LearningModel DevelopmentModel DeploymentModel MonitoringData ExplorationFraud DetectionRisk ModelingReal-time Systems

Questions & Answers

Common questions about this position

What skills are required for the Senior Applied Scientist role?

Candidates need a passion for researching new ML methods, hands-on experience productionizing ML algorithms including data collection, model development, deployment, and monitoring, proficiency in Python, and experience with large-scale datasets using Apache Spark. They should be collaborative team players who thrive in cross-functional environments and handle ambiguity with a pragmatic approach. Experience in payments, risk, or fraud is a plus.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like at Zalando?

Zalando emphasizes being inclusive by design, with a hiring process that assesses candidates only on qualifications and merit without discrimination based on gender identity, sexual orientation, ethnicity, religious belief, or disability status. They have a diversity & inclusion strategy called do.BETTER and employee resource groups.

What makes a strong candidate for this Senior Applied Scientist role?

A strong candidate has a passion for data and researching new ML methods, a production mindset for the full ML lifecycle, and experience translating research into real-time systems. Highlight hands-on experience with Python, Spark, productionizing ML, and collaboration in cross-functional teams, plus any background in payments, risk, or fraud.

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