Data Scientist (w/m/d)

Otto GmbH & Co. KGaA

Otto GmbH & Co. KGaA is searching for a Data Scientist to enhance the e-commerce landscape by focusing on cutting-edge technologies for recommendation systems. With a commitment to leveraging state-of-the-art data science models, the team aims to deliver top-notch product recommendations to customers. The position is situated within a dynamic team environment, where new technologies and innovative solutions are actively embraced.

In this role you can expect to have the responsibilities:

• Develop and refine algorithms and machine learning models to enhance recommendations on otto.de.
• Choose from a spectrum of approaches, from rule-based to transformer models, depending on the problem.
• Engage in the full data science process from concept to live deployment, ensuring smooth operation.
• Conduct feature engineering and implement models focused on improving customer satisfaction.
• Stay updated with the latest research in data science and AI to continuously improve the product vision.
• Collaborate closely within a cross-functional team including product managers and engineers.
• Participate in a pragmatic, agile team that values pair programming.

This role comes with the following benefits:

• Hybrid working model with up to 50% remote work, flexible hours, 37.5-hour work week, 30 vacation days, and sabbatical options.
• Vacation and Christmas bonuses, 15% employee discount, various benefits and offers, pension schemes, and relocation support.
• Professional development through onboarding, training programs, and access to digital learning platforms.
• Access to over 30 corporate sports offerings, health and mindfulness programs, and parental support.
• Engaging company culture with social spaces, free beverages, diverse food options, and employee surveys.
• Mobility perks such as free parking, e-charging stations, and public transport subsidies.

This role requires you to have:

• Several years of experience in the entire data science product cycle.
• Strong knowledge and hands-on experience with various machine learning algorithms.
• Proficiency in Python and familiarity with frameworks like PyTorch and TensorFlow.
• Experience with cloud technologies, specifically developing models in AWS.
• Team player with an analytical and agile mindset.
• Fluency in German (C1 level) and English (B2 level).

You would benefit from having:

• Master’s degree in a STEM field or equivalent experience.
• Interest in functional programming using Clojure.
• Experience with ranking or recommender systems.
• Familiarity with behavioral data in e-commerce contexts.