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Applied Scientist - Risk Management / Risk AI (all genders)

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Zalando

5d ago

  • Job
    Full-time
    Entry, Junior, Mid & Senior Level
  • Data
    Research & Development
  • Berlin

AI generated summary

  • You need a degree in a relevant field, strong math/statistics knowledge, experience with ML algorithms, problem-solving skills, and familiarity with Python, SQL, and data manipulation packages.
  • You will research machine learning solutions for payment risk and KPI forecasting, analyze data patterns, collaborate with engineers on production algorithms, and share learning with colleagues.

Requirements

  • You have a degree in statistics, physics, biology, machine learning, data science, economics or another relevant field.
  • You have a solid foundation of knowledge in mathematics and statistical methods. You can easily explain the importance of a p-value, and what are its pitfalls.
  • You have experience and understanding of basic machine learning algorithms. You have an interest in learning how to improve/perfect and generally build more performant machine learning products.
  • You bring excellent problem-solving skills, with a logical and pragmatic attitude.
  • Ideally, you are familiar with the python best practices. You also know how to make sense of data using SQL and relevant python packages (pandas, spark).

Responsibilities

  • Research and develop machine learning solutions to solve business problems such as payment risk assessment and forecasting of various KPIs.
  • Make sense of the messy patterns within data. You thrive on using analytics approaches to understand the problem you’re working on, and being a data detective.
  • Collaborate with engineers to put machine learning algorithms into production.
  • Learn and develop, and share your knowledge with your colleagues. We are excited to teach you new technologies and approaches, and to learn from you.

FAQs

What is the primary focus of the Applied Scientist role in Risk Management at Zalando?

The primary focus is to build, evaluate, verify, and deploy machine learning algorithms to ensure a secure and seamless payment experience for Zalando customers.

What qualifications are preferred for applicants?

Applicants should have a degree in statistics, physics, biology, machine learning, data science, economics, or a relevant field, along with a solid foundation in mathematics and statistical methods.

What kind of experience should candidates have with machine learning?

Candidates should have experience and understanding of basic machine learning algorithms and an interest in improving and building more performant machine learning products.

What programming skills are expected from the applicants?

Ideally, applicants should be familiar with Python best practices and have the ability to analyze data using SQL and relevant Python packages such as pandas and Spark.

What are some key responsibilities of this role?

Key responsibilities include researching and developing machine learning solutions, analyzing data patterns, collaborating with engineers to deploy algorithms, and sharing knowledge with colleagues.

Does Zalando provide benefits for employees?

Yes, Zalando offers a range of benefits including an employee shares program, discounts on fashion products, paid volunteering days, and health and wellbeing options.

Are there opportunities for development and learning in this role?

Yes, there are opportunities to drive development through Zalando's training platform and peer-to-peer reviews.

Can employees work from abroad?

Yes, employees can work from abroad for up to 30 working days a year.

How many vacation days do employees receive?

Employees start with 27 vacation days per year for full-time employment.

How does Zalando approach diversity and inclusion in hiring?

Zalando assesses candidates based on qualifications, merit, and business needs, welcoming applications from diverse backgrounds and identities without bias related to personal characteristics.

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Zalando

Europe’s leading online platform for fashion and lifestyle.

Retail & Consumer Goods
Industry
10,001+
Employees
2008
Founded Year

Mission & Purpose

Zalando is a leading European online platform for fashion and lifestyle, offering a wide range of clothing, footwear, accessories, and beauty products from various brands. Their ultimate mission is to provide customers with a seamless and inspiring shopping experience, blending fashion with technology to create innovative solutions. The purpose of Zalando is to revolutionise the fashion industry by offering a diverse and inclusive shopping environment where customers can discover and purchase the latest trends and styles conveniently online. They aim to empower people to express their individuality through fashion while fostering sustainability and ethical practices within the industry.