Job description

Company Description

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!

Job Description

We are looking for a skilled Data Scientist to join our Recommendation System team and will be responsible for the development of a ranking service for search results on our e-commerce platform.

The ideal candidate will be responsible for designing, implementing, and maintaining ML & DL models to improve the relevance and personalization of search results.

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.

Qualifications (Essential)

Over 3 years of experience in Data Science, with experience in developing recommendation systems or NLP
Strong Python, ML/DL skills.
Excellence in statics.
Experience working with Big Data.
Proficiency in SQL (OLAP and OLTP)
English B2

Qualifications (Desired)

Experience with designing real-time high-load ML systems.
Experience with ElasticSearch
Experience in an e-commerce environment with direct exposure to search engine algorithms and personalization.
Experience with cloud platforms, particularly Google Cloud Platform, for scaling and managing analytical solutions.
Familiarity with CI/CD principles, experience with model versioning, and understanding of MLOps fundamentals.
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.
in SQL (OLAP and OLTP)

What do we offer?

Competitive salaries based on your professional experience
Fast growing international company with stable employment
Annual vacation and 1 additional day off on your birthday
Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions
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 - Flexible working hours and hybrid work

Join us today and let’s create a success story together!

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