Senior Applied Scientist - Network Behaviour (all genders)

## 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: