across Europe
Data Scientist (Recommendation systems)
Where your expertise is needed
AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe. Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands. Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!
What we’re looking for
Responsibilities
Develop and implement machine learning models to rank search results based on user behavior and preferences.
Analyze large datasets to identify patterns and insights related to user interactions and search effectiveness.
Collaborate with engineering teams to integrate ML models into the production environment.
Continuously evaluate and improve the performance of existing ranking algorithms.
Conduct A/B tests to measure the impact of changes.
Research the latest developments in machine learning and search technologies.
Requirements
3+ years of experience in Data Science, with hands-on experience developing recommendation systems or Natural Language Processing (NLP) solutions.
Strong Python and ML/DL expertise, including collaborative filtering, Transformers, and deep learning frameworks like PyTorch or TensorFlow.
Proficiency in SQL (OLAP and OLTP) for efficient querying and data processing.
Big Data experience, with exposure to handling petabytes of data efficiently.
Understanding of search engine algorithms and how they interact with recommendation models.
Basic knowledge of statistics to support data-driven decision-making.
English B2+ proficiency with good presentation skills.
Nice to have
Experience designing real-time high-load ML systems that handle millions of users and products efficiently.
ElasticSearch experience, particularly in search ranking and query optimization.
E-commerce industry experience, specifically with search engine algorithms and personalization strategies.
Proficiency in Google Cloud Platform (GCP) for scaling and managing analytical solutions.
MLOps fundamentals, including CI/CD, model versioning, and deployment practices.
Docker experience.
A Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
Strong communication skills and ability to work collaboratively with technical and non-technical stakeholders.
Perks at work
Competitive salaries based on your professional experience
Annual vacation of 22 working days and 1 additional day off on your birthday
Meals Allowance
Healthcare Insurance
Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
AUTODOC Corporate Discount
Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
Free English and German language classes
Referral Program with attractive incentives
Flexible working hours and hybrid work
Fast growing international company with stable employment
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.