Senior Applied Scientist - Network Behaviour (all genders) - System Engineering / Admin, Ingenieur

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

Contribute to modeling, solving, and implementing forecasting models within our research-driven software framework to cater for the increasing scale and load and novel use cases. Constantly question the model and the algorithms we use and seek for a constant improvement.

Act as a technical lead and mentor for mid-level Applied Scientists, providing guidance on experimental design, code quality, and scientific excellence.

Design, implement, and maintain automated pipelines covering data ingestion, feature engineering, model training, and evaluation to ensure high reliability and scalability of our machine learning systems.

Involve yourself in our ongoing research roadmap to discover future opportunities.

Set the standard for the entire development cycle, including requirement engineering based on deep domain & business understanding, prototyping, implementing production software, as well as testing and operating the highly available production system.

Collaborate closely with our software engineers to mutually influence and understand system constraints and opportunities, and take part in shaping the future of our system.

Think abstractly and discover correlations between problems, methodologies, and solutions.

Contribute to the design, implementation and evaluation of A/B tests that help us measure impact, shape our roadmap and identify opportunities

Join the Zalando community of fellow researchers, exchange ideas, connect and provide your contributions

Promote and support an inclusive culture and diverse team, fostering a positive and productive work environment for all team members.

WE’D LOVE TO MEET YOU IF

You have an academic background in machine learning, statistics, operations research or related fields, and can apply the knowledge effectively

You have substantial experience (ideally 3+ years) discovering, building, evaluating and operating prediction models in production at scale.

You have experience with data processing frameworks such as PySpark or Pandas as well as Machine Learning libraries such as Scikit-Learn, XGBoost, LightGBM, PyTorch or Tensorflow. Previous experience with Databricks is not mandatory but appreciated.

You prefer simple solutions over complex ones but at the same time, you are aware that complex problems sometimes require advanced algorithms.

You’re excited about working in a setup that requires a deep domain understanding (e.g., how our fulfillment processes works).

You are a team player who thrives in an international, agile and cross-functional environment, and is passionate about fostering a positive and productive work environment.

You are fluent in English.

OUR OFFER

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

Employee shares program

40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners

2 paid volunteering days a year

Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration

Work from abroad for up to 30 working days a year

27 days of vacation a year to start

Relocation assistance available (subject to prior agreement)

Family services, including counseling and support

Health and wellbeing options (including Gympass)

Mental health support and coaching available

Drive your development through our training platform and biannual peer-to-peer review. You'll also receive full access to an O'Reilly online learning subscription

Learn all about Zalando and our values here:

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