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Junior Applied Scientist - Zalando Payments (all genders)

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Zalando

Jan 22

Applications are closed

  • Job
    Full-time
    Entry & Junior Level
  • Data
    Software Engineering
  • Berlin

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 good understanding of basic machine learning algorithms. You have an interest in learning how to improve/perfect and generally build more performant machine learning products.
  • We are working in a big and complex environment and with many stakeholders. We expect you to be able to translate business needs into machine learning concepts. Great communication skills are needed to help non-technical colleagues understand applied science concepts.
  • You bring excellent problem-solving skills, with a logical and pragmatic attitude.
  • Ideally, you are familiar with the Python's 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 role of the Junior Applied Scientist at Zalando Payments?

The primary role is to build, evaluate, verify, and deploy machine learning algorithms that enhance the payment experience for customers, particularly regarding pre-order risk assessment for deferred payments.

What qualifications do I need to apply for this position?

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

What skills are important for this position?

Important skills include understanding basic machine learning algorithms, strong problem-solving abilities, excellent communication skills for translating technical concepts to non-technical colleagues, and familiarity with Python, SQL, and relevant data manipulation packages.

Is there a focus on diversity and inclusion in the hiring process?

Yes, Zalando emphasizes inclusivity in its hiring process, assessing candidates solely based on qualifications, merit, and business needs, while welcoming applications from diverse backgrounds.

Will I have the opportunity to learn and grow in this role?

Yes, the role encourages learning and development, with opportunities to share knowledge and learn new technologies and approaches from colleagues.

Does Zalando Payments offer any benefits?

Yes, Zalando provides various benefits, including an employee shares program, discounts on products, paid volunteering days, a flexible working model, relocation assistance, and health and wellbeing options.

How does Zalando Payments ensure compliance in the fintech industry?

Zalando Payments prioritizes high standards of compliance required in the fintech industry as part of its mission to deliver secure and seamless payment solutions.

What kind of environment will I be working in?

You will be working in a complex and dynamic environment that involves collaboration with multiple stakeholders and the challenge of translating business needs into machine learning concepts.

Can I work remotely if I am hired for this position?

Yes, the role supports a hybrid working model, allowing for up to 60% remote work per week, depending on team needs.

How many vacation days do I receive as a full-time employee?

Full-time employees start with 27 days of vacation a year.

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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.

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