Senior Data Scientist - Customer Analytics

Recruiter
Zalando
Location
Berlin
Posted
30 Jul 2020
Closes
10 Sep 2020
Ref
2243058
Function
Technology
ABOUT THE TEAM
Department: Customer Analytics
Reports to: Lead Customer Analytics
Team Size: Recruiter Name: Rime Asselman, rime.asselman@zalando.de

As a Senior Applied Scientist in the Customer Analytics team, you are part of Zalando's Markets & Sales organization, which enables data driven business strategies for 17 countries. Using customer analytics, segmentations, and big data, we put our customers at the center of every marketing, retail and business decision. As one of the first Applied Scientists in the team, you will be defining, designing and delivering automated solutions such as churn and value segmentations for our 30+ million customers that allow Zalando teams to tailor their products and services to specific customer needs and characteristics.
WHERE YOUR EXPERTISE IS NEEDED
  • Experiment, evaluate and implement state-of-the-art data science solutions focused on creating customer profiles and segmentations, enabling Zalando teams to grow and deepen our customer relationships.
  • Collaborate with engineering teams within your department and with business stakeholders across the company to bring the developed models in production.
  • Drive and prioritize the team's Data Science projects. Act as a mentor in the team and grow other (junior) team members. Actively exchange with other data scientists, engineers, analysts and commercial colleagues to untap new sources of data and know-how.
  • Commercially minded attitude: you identify and build fit-for-purpose solutions that directly deliver business results.
WHAT WE'RE LOOKING FOR
  • You have 4+ years hands-on experience in applied sciences, and have industry experience throughout the data science cycle from data preparation/feature engineering to go-live and maintenance of a model. Masters level or higher degree in a quantitative field is preferred (e.g. in Data Science, Computer Science, Statistics, Econometrics)
  • Advanced skills in Python. Hands-on experience with Git, AWS EC2, S3, machine learning libraries/frameworks and big data technologies such as Spark. Curious about learning new technologies.
  • End-to-end experience with machine learning pipelines, including running the products live, monitoring them and assuring data quality.
  • Strong communicator to challenge the status quo, tell data stories, maximize decision impact of your results and liaise with commercial and tech people alike. You have a hands-on mentality and love to solve complex problems.


PERKS AT WORK
  • Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties and events
  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
  • Extensive onboarding, mentoring and personal development opportunities and an international team of experts
  • Relocation assistance for internationals, PME (Partner für Mitarbeiter-Effizienz) family service and parent & child rooms* (*available in select locations)

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.

ABOUT ZALANDO

Zalando is Europe's leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.

Please note that all applications must be completed using the online form - we do not accept applications via e-mail.

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