FAQs
What is the job title for this position?
The job title is Senior Data Scientist – Logistics Algorithms.
What are the main responsibilities of the Senior Data Scientist?
The main responsibilities include building, productizing, and maintaining accurate prediction models, distilling vast quantities of warehouse data into actionable insights, and collaborating with software engineers and applied scientists to enhance logistics operations.
What kind of background is preferred for applicants?
A strong academic background in mathematics, computer science, or a related field is preferred, along with a passion for data analysis, predictive modeling, and experience with machine learning pipelines.
What technologies should applicants be familiar with?
Applicants should have hands-on experience with big data technologies, such as Apache Spark, and be skilled in managing large-scale data pipelines. Familiarity with Python or Scala for writing data-processing workflows is also required.
How does Zalando approach diversity and inclusion in the hiring process?
Zalando is committed to being inclusive by design and does not discriminate based on gender identity, sexual orientation, ethnicity, religious beliefs, or disability status. Candidates are assessed solely on their qualifications and merit.
Is there an opportunity for remote work with this role?
Yes, the position supports a hybrid working model with 60% remote work per week.
Are there any specific benefits that Zalando offers to employees?
Yes, Zalando provides various benefits, including an employee shares program, discounts on products, paid volunteering days, relocation assistance, health and wellbeing options, and mental health support.
What kind of work environment does this position offer?
The work environment is agile and cross-functional, fostering collaboration and a positive and productive culture among team members.
Is prior experience with Databricks a requirement for this position?
While experience with Databricks is ideal, it is not an absolute requirement, and applicants should be confident in quickly adapting to it.
What are some challenges the Senior Data Scientist will face?
The Senior Data Scientist will face challenges in building accurate prediction models based on warehouse operations and distilling large amounts of data into actionable insights for algorithmic decision-making.