Data Scientist

Уровень дохода не указан

Опыт работы: 3–6 лет

Полная занятость
Рабочие часы: 8

Формат работы: гибрид

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We are Europe's leading online retailer of car parts.

With a turnover of more than €1 billion in 2022, more than 4 million products in our assortment, about 50k orders daily, and about 5000 employees globally, we have secured a secure place in the market. This year we have expanded our B2C focus with a promising B2B branch with our project "Autodoc PRO".

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

  • Design, Development of predictive models (demand forecast, stocks)

  • Development and testing of hypotheses to improve business metrics

  • Modeling and data processing in Python to extract value from data, training ML models;

  • Development of analytical solutions, pipelines for business tasks of the domain;

  • Output of models| pipelines to the product environment, quality monitoring.

  • Collaborate closely and cross-functionally with business stakeholders, to ensure a deep understanding of business needs and delivery of relevant and effective solutions.

  • Proactively identify, resolve and optimize performance and user experience issues.

Requirements

  • 3-4 years experience in data analysis/science

  • Experience with time series

  • Working with Clickhouse| MySQL |PostgreSQL databases

  • Experience using machine learning (SciPy, Sklearn, PyTorch, lgbm, catboost) and data analysis (Pandas, Numpy, Seaborn| Plotly | Matplotlib) libraries in Python and understanding of algorithm implementation (bousting, neural networks, matching)

  • Understanding of data analysis and machine learning techniques to solve business problems

  • Familiarity with e-commerce, supply-chain management - an advantage.

  • Self-learner, problem-solver, multi-tasker and a team-player.

  • Knowledge of English (level B2 or higher)

What do we offer?

  • Annual vacation of 24 calendar days and 1 additional day off on your birthday

  • Mental Wellbeing Program

  • Medical Insurance expenses monthly allowance

  • Learning & Development (over 650 courses on soft and hard skills on our e-learning platform)

  • Free English and German language classes (after probation period)

  • Flexible working hours and hybrid work

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

where you can grow and develop!

Ключевые навыки

  • Python
  • SQL
  • MySQL

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Он получит его с откликом на вакансию

Где предстоит работать

Алматы, улица Султанбека Ходжанова, 2/2

Вакансия опубликована 17 февраля 2025 в Алматы

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