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Data Scientist

75% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
Ukraine, Poland, Portugal, United States

Offer summary

Qualifications:

At least 3 years of experience in data science developing recommendation systems, Proficiency in programming with Python, SQL, and experience using Airflow, Hadoop, Spark, or Hive.

Key responsabilities:

  • Develop high-load realtime (or semi-realtime) recommendation system for a wide range of automotive products
  • Analyze user behavior data to enhance recommendations and provide valuable insights
  • Design, implement, and maintain recommendation system algorithms and the overall system architecture for optimal data management and processing
AUTODOC logo
AUTODOC Information Technology & Services Large https://autodoc.group/
5001 - 10000 Employees
See more AUTODOC offers

Job description

Logo Jobgether

Your missions

Company Description

We love cars and everything related to them, and we work in e-commerce. In 2008, our team started the business with several dozen parts positions, and today we sell about 3.7 million products for 166 car brands. We are real friends with clients from 27 EU and EEA countries. As of 2020, our customer base has reached 5.3 million active B2C and B2B clients. We are dedicated to working, and so we expect our revenue to exceed €1.0 billion

Job Description

We are looking for a highly skilled and experienced Data Scientist to join our team. The ideal candidate must have a proven track record in working with big data, building high-load recommendation systems.

Responsibilities:

  • Develop a high-load realtime (or semi realtime) recommendation system to rank 3M+ products to 6M+ customers.
  • Analyze and interpret complex data of users behavior to provide insights and improve recommendations
  • Develop and maintain algorithms for recommendation systems
  • Design and implement system architecture for data management, processing, and analysis.
  • Collaborate with cross-functional teams to implement solutions.
  • Stay up-to-date with the latest trends and techniques in data science and machine learning.

Requirements:

  • 3+ years of experience in data science, with a focus on developing recommendation systems.
  • Strong programming skills in Python.
  • Proficiency in SQL.
  • Experience with workflow tools such as Airflow.
  • Experience with big data technologies such as Hadoop, Spark, or Hive.
  • Strong understanding of machine learning / deep learning algorithms and data structures.
  • Excellent communication and collaboration skills.

Nice to have:

Experience with Google Cloud Platform (GCP) technologies.

Familiarity with distributed column-store database management systems such as ClickHouse.

Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

What do we offer?

For your professional growth

Only innovative projects and advanced technologies

Complete freedom for bright ideas and bold decisions

Work in the international team of professionals willing to share their experience

Ability to switch to another project that is interesting for you

Professional growth: free external and internal professional training courses and certifications

Paid business trips and payment for participation in conferences

Paid corporate language classes (English, German, Polish)

For your convenience

Work on your terms — you can work remotely and choose a flexible schedule

28 paid vacation days, 1 day off, national holidays, and unlimited sick leave

Friendly team buildings, cool corporate events with

Corporate wellness activities with colleagues

Corporate gifts on the first working day, birthday, anniversary of work, birth of a child
 

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

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
EnglishGermanPolish
Check out the description to know which languages are mandatory.

Soft Skills

  • Interpersonal Skills
  • Team Collaboration
  • Teamwork

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