Data Scientist PLP

Company Description

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!