Logo of Huzzle

Home

Matches

Explore

Manage

Applied Scientist (All genders)

image

Zalando

1mo ago

  • Job
    Full-time
    Junior Level
  • Data
    Research & Development
  • Berlin

AI generated summary

  • You should have a Master's/PhD in a quantitative field, 2+ years of experience, strong skills in Python & machine learning, and experience with AWS, Big Data, and relational databases.
  • You will solve classification, forecasting, and anomaly detection problems, develop scientific roadmaps, improve ML algorithms, and collaborate with engineers and stakeholders to implement models in production.

Requirements

  • A Master of Science or PhD with a focus on Data Science, Statistics, Mathematics or similar quantitative fields. Minimum of 2 years of industry experience.
  • Sound theoretical and applied knowledge about machine learning and statistics. Solid coding skills for prototyping and writing production-ready code. Strong experience with Python, including numerical packages (numpy), data handling (pandas), machine learning (scikit-learn)
  • Practical experience in deploying machine learning models into production (AWS, K8s, CI/CD, github, REST APIs)
  • Experience in working with Big Data technologies (Apache Spark/Databricks) and relational databases (e.g PostgreSQL)

Responsibilities

  • Apply your scientific problem solving skills by working on different classification, forecasting and anomaly detection problems
  • Develop long-term scientific roadmaps to address complex fashion challenges using state-of-the-art ML solutions, ensuring that we stay at the forefront of innovation
  • Monitor and improve ML algorithms that run in production
  • Collaborate with engineers within our team, department and with business stakeholders across the company to bring the developed models to production

FAQs

Do we support remote work?

Yes, we do remote work in a hybrid format, allowing for 60% or more remote work per week depending on the team's collaboration needs.

What qualifications do I need to apply for this position?

You need a Master of Science or PhD focusing on Data Science, Statistics, Mathematics, or similar quantitative fields, along with a minimum of 2 years of industry experience.

What programming languages and tools should I be familiar with?

Strong experience with Python, including programming with numerical packages (numpy), data handling (pandas), and machine learning (scikit-learn) is required.

Is there any experience required in machine learning?

Yes, you should have sound theoretical and applied knowledge of machine learning and statistics and practical experience in deploying machine learning models into production.

What technologies should I know for big data handling?

Experience with Big Data technologies such as Apache Spark or Databricks, as well as relational databases like PostgreSQL, is expected.

What kind of projects will I be working on?

You will be working on classification, forecasting, and anomaly detection problems, developing scientific roadmaps to tackle complex challenges in the fashion industry.

Are there opportunities for professional development in this role?

Yes, you will collaborate with other Applied Scientists and engineers, contributing to a scientific roadmap that emphasizes continuous learning and innovation.

What are the benefits offered by Zalando?

Benefits include an employee shares program, discounts on products, 27 days of vacation, hybrid working model, mental health support, and family services among others.

How does Zalando support diversity and inclusion?

Zalando aims to be inclusive by design, not discriminating based on gender identity, sexual orientation, ethnicity, or disability status, and values diverse applications based on qualifications and merit.

Is relocation assistance available for this role?

Yes, relocation assistance is available subject to prior agreement.

image

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.