Data Science Specialist

7 dni temu


Warszawa, Polska Allegro Pełny etat

As a Data Scientist at Allegro, you will be part of a dynamic team driving data-driven insights that propel the business forward. With a strong focus on geospatial analysis and delivery time prediction, our expertise spans across various areas including GIS, spatial databases, and advanced statistical software.

We leverage these tools to discover hidden patterns and trends in spatial data, leading to optimization in route planning, asset allocation, and a superior understanding of our service areas. Our network planning approach involves strategic thinking and modeling techniques, facilitating us in devising optimal routes for delivery and managing our distribution network.

You will handle tasks such as data management, collaborating with engineers to ensure data availability, integrity, accuracy, and reliability. Additionally, you will employ Python, PySpark, BigQuery, XGBoost, TensorFlow to process and automate petabytes of data.

The role requires research participation, involving activities whose findings and recommendations directly influence the development direction of search products. You will also create complex data models using machine learning and statistics to understand and predict patterns, as well as utilize GIS tools and location-based data to extract insights and improve decision-making.

A high degree of autonomy is expected in terms of organizing your work, and we encourage continuous learning and trying new approaches. This position offers a chance to work with top-class specialists and experts in their areas of expertise, fostering knowledge sharing and collaboration.

This role requires education in a field related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, or Computer Science. A minimum of 3 years of experience in a Data Scientist role or similar capacity is required.

The salary for this position is estimated to be around $120,000 - $150,000 per year, depending on location and experience. Benefits include working in a well-equipped office, access to extensive data sets, and opportunities for skill development and innovation.



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