Offer summary

Qualifications:

3+ years in Data Science, Experience with recommendation systems or NLP, Strong Python and ML/DL skills, Bachelor's or Master's in related field.

Key responsabilities:

Develop machine learning models for ranking

Analyze datasets for user behavior insights

Collaborate with engineering teams for model integration

Evaluate and improve ranking algorithm performance

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

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

Over 3 years of experience in Data Science, with experience in developing recommendation systems or NLP

Strong Python, ML/DL skills, including experience with collaborative filtering, Transformers, and deep learning frameworks like PyTorch or TensorFlow.
Basic knowledge in statistics.

Experience working with Big Data.
Proficiency in SQL (OLAP and OLTP)
English B2

Nice to have

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.

What do we offer?

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