Offer summary

Qualifications:

Over 3 years experience in Data Science with focus on recommendation systems or NLP, Strong Python, ML/DL skills, Proficiency in SQL and Big Data technologies, Foundation in statistical analysis.

Key responsabilities:

Develop ML models for product recommendations

Analyze large datasets to identify patterns

Collaborate with engineering teams

Evaluate & improve existing ranking algorithms

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.

The ideal candidate will be responsible for designing, implementing, and maintaining ML & DL models to improve recommendation algorithms.

Responsibilities

Develop and implement machine learning models to create product recommendations
Analyze large datasets to identify patterns and insights in user behavior
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 a focus on uplift modeling and causal effect analysis.
Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis, for example CausalML or others.
Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
Knowledge of SQL and experience with databases, including ClickHouse, for effective data extraction and processing.

Qualifications (Essential)

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

Experience working with Big Data technologies.

Strong Python, ML/DL skills.
Strong foundation in statistical analysis and its applications in machine learning.
Proficiency in SQL (OLAP and OLTP)
English B2

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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