Position: Senior Data Scientist (Pricing)
Company: AUTODOC
Experience required: 3y
English level: upper

**Company Description**
**AUTODOC** is a multicultural tech-company active in 27 countries and with ~5000 people from over 50 nations where things are going fast forward. We are currently in a transformative phase and looking for innovative, tech-driven, and agile people to join us. We are striving to create an environment where people are safe and supported - whether it’s in an office space or work-at-home. 
Would this fit you, or do you know someone who would fit this description then please contact us now and our team will get back to you as soon as possible.
**Job Description**
We are looking for a highly skilled and experienced **Data Scientist** to join our pricing algorithms R&D team. The ideal candidate must have a relevant experience of buliding dynamic pricing solution.

**Responsibilities:**

- Solve the dynamic pricing problem. Currently, we have 5M+ unique items over 28 countries, and we need to understand what an optimal price for every candidate is.
- Work with large datasets and perform data preprocessing, feature engineering, and data transformation to build accurate machine learning models.
- Launch pricing experiments and implement successful ones into production.
- Collaborate with cross-functional teams to identify business problems and develop 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 dynamic pricing problem.
- Strong programming skills in Python.
- Proficiency in SQL.
- Familiarity with A/B testing and basic knowledge of statistics.
- Understanding of the concept of orchestrator and basic understanding of writing DAGs (preferably Airflow).
- Strong understanding of classical machine learning models and data structures.
- Excellent communication and collaboration skills.
**Nice to have:**

- Experience with Google Cloud Platform (GCP) technologies.
- Experience with FastAPI and Docker frameworks
- Familiarity with distributed column-store database management systems such as ClickHouse.
- Experience with big data technologies such as Hadoop, Spark, or Hive.
- Familiarity with deep learning or reinforcement learning models.
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
**What do we offer?**
- Competitive salary based on your professional experience
- Stable employment in the fast-growing international company
- Wide benefit system
- Dynamic work environment
- Ability to influence business and its results
- Professional growth — you will attend free external and internal courses
- Paid business trips and payment for participation in conferences
- Paid corporate language classes
**Join us today and let’s create a success story together!**