Senior Applied Scientist - Customer Care Technology (W/M/D)

Recruiter
Zalando
Location
Berlin
Posted
24 Jun 2021
Closes
28 Dec 2021
Ref
3249262
Function
Technology
As a Senior Applied Scientist, you will bring new prediction models to life to form the foundations of our autonomous, proactive and predictive Customer Care. Combining data points from many Zalando teams, you will be at the forefront of detecting and resolving issues for Zalando's 45+ million active customers - often, before the customers even notice that something did not go as planned!

You will be a key part of the Engineering team within Customer Care Technology, who are responsible for building and maintaining the software used throughout Zalando's Customer Care. Our focus is on improving the customer experience through automation, predictions and better service for both our external and internal customers.

WHERE YOUR EXPERTISE IS NEEDED
  • Creating predictive models to identify the customers (and their issues) who we can proactively help
  • Collaborating with software engineers to translate machine-learning prototypes into production systems
  • Collaborating with product managers and other stakeholders to identify new areas of potential impact
  • Researching challenging problems, such as improving the prediction of customer pain points
  • Querying and analysing data, and setting-up monitoring and data quality assurance

WHAT WE'RE LOOKING FOR
  • Excellent educational background (minimum M.Sc) in Computer Science, Mathematics, Statistics or other similar quantitative field
  • At least 3 years of industry experience with Python and ML-related libraries, such as pandas, scikit-learn, TensorFlow, Keras, XGBoost, and big data frameworks such as Spark, Dask. A strong understanding of machine learning methods and techniques, especially for customer behaviour analysis and prediction, is required
  • Deep understanding of statistics, and machine learning, and a knowledge of best practices in productionalising machine-learning systems
  • Experience in building and maintaining data pipelines and collecting data from multiple sources and formats, and working with data-science based services that provide an API


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 & 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 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 Customer Care Technology

Customer Care Technology is the foundation upon which Zalando's Customer Care rests. We have dedicated teams for engineering, product, business development, analytics, system administration and process management. We work closely with the contact centre, and with stakeholders across the business (for example, logistics and payments teams) to ensure we are able to provide the best possible experience for customers when they experience friction on their Zalando journey.

Zalando SE

Zalando is Europe's leading online platform for fashion and lifestyle, connecting customers, brands and partners across 23 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 45+ million active customers through diverse skill-sets, interests and languages our teams choose to use.

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

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