Senior Data Scientist

We are seeking a highly skilled and versatile Data Specialist who combines deep expertise in statistics and machine learning, strong software engineering and data infrastructure skills, and a genuine interest in the automotive industry.

You will be instrumental in designing and implementing predictive models for vehicle pricing, building scalable data pipelines, and contributing to the architecture and development of our next-generation Automotive Data Warehouse.

Requirements:

- Advanced knowledge in statistics, machine learning, and predictive modeling (e.g., regression, time-series forecasting, ensemble models);

- Strong software development background in Python or C#;

- Excellent command of SQL and experience with relational and analytical databases;

- Solid understanding of Data Warehousing concepts and ETL/ELT pipeline design;

- Familiarity with cloud services like AWS or Azure (basic knowledge required);

- Practical experience with data cleaning, data transformation, and data quality management;

- Experience working with modern data platforms (e.g., ClickHouse, Redshift, Snowflake, or equivalent);

- Proven ability to build and maintain production-grade analytical systems;

- Strong interest or background in automotive data, car technologies, or the vehicle marketplace.

Will be a plus:

- Experience in building real-time or batch forecasting tools for market analytics;

- Prior work with automotive datasets, including pricing, maintenance, user preferences, or telematics;

- Knowledge of media data processing (images, video, 3D) or user interaction analysis.

Responsibilities:

- Design and develop mathematical models for car pricing, including historical, market, and user-influenced factors;

- Build and optimize end-to-end data pipelines: ingestion, cleaning, transformation, aggregation, and storage;

- Work with large and heterogeneous datasets, including structured data (prices, vehicle history), unstructured data (media), and user behavior analytics;

- Apply classical statistical methods and modern ML/AI techniques to forecast trends and derive actionable insights;

- Collaborate on the technical implementation of the dR Data Warehouse, including integration of internal and external data sources;

- Ensure performance, scalability, and economic efficiency in all data systems and models.

We offer:

- Variety of domains;

- Full stack of technologies;

- Professional and highly interactive team environment;

- Management style based on openness and trust;

- Stable support in personal education and growth;

- Worthy compensation;

- Active community with regular knowledge sharing;

- Flexible work conditions.