Informacje o stanowisku

technologies-expected :

• Python
• SQL

• We are working towards transforming the whole Allegro front-end experience based on Product Catalog by achieving highest quality content, images and product groups. As we’re working with more than 100 million products we need scalable solutions. Our team of data scientists is building Machine Learning models and algorithms that drive the product catalog development and ultimately our business.
• Technologies you’ll encounter on the job are (among others): Python, Airflow, Big Query, GCP, Spark, VertexAI, Looker Studio.

• As a Senior Data Scientist, you will build and maintain ML models needed to develop the catalog. You will be responsible for training models, monitoring their performance, diagnostics and improving the business metrics. Our team uses different kinds of models and tech to bring direct business impact. Our current projects include:
• Detection of product duplicates
• Detection of misclassified products
• Clustering and grouping products
• Face anonymization solution

• Our offer is addressed to people who:
• Graduated with a degree in Mathematics, Economics, Computer Science or a similar major
• Have at least 4-5 years of experience in data science, with some models launched to production
• Have experience with large scale models and data processing
• Can translate business challenges into ML problems and tackle them using novel approaches
• Are excellent communicators, able to convey technical information to semi and non-technical audiences
• Fluently program in Python and use development tools with ease
• Have an advanced knowledge of SQL
• Understand statistical and machine learning methods, especially algorithms based on decision trees

• High impact and opportunity to design the ML backbone of largest eCommerce platform in Poland and one of largest in Europe
• Multidisciplinary nature of work at the intersection of business and technology, development opportunities in designing cutting edge solutions at scale that bring real value to customers
• Possibility to implement ML solutions which are unique on the market
• Support of experienced Data Scientists and Engineers - there is always someone to exchange ideas with because we have the best specialists and experts in their field on board
• Well-located office (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
• A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)
• Annual bonus of 10% of the gross annual salary (depending on your end-year assessment and the companys results)
• Long-term discretionary incentive plan based on Allegro.eu shares
• Fully sponsored English classes, related to the specific nature of your job

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• integration events
• no dress code
• leisure zone
• extra social benefits

Poznań - Oferty pracy w okolicznych lokalizacjach