Senior Data Scientist (Catalog & Pricing)

Posted 10 Hours Ago
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Poznań, Wielkopolskie
Mid level
eCommerce • Information Technology
The Role
As a Senior Data Scientist, you will build and maintain machine learning models for product catalog development, focusing on tasks like detecting product duplicates and misclassifications, along with clustering products. You will monitor model performance and aim to improve business outcomes using advanced ML techniques with large datasets.
Summary Generated by Built In

Job Description

A hybrid work model requires 1 day a week in the office.

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.

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

Technologies you’ll encounter on the job are (among others): Python, Airflow, Big Query, GCP, Spark, VertexAI, Looker Studio.

Why is it worth working with us, and what sets us apart?

  • We are a team that is not afraid of hard problems and is constantly looking for development opportunities. We have a track record of deploying our models at a large scale and focus on bringing the impact on production. With a wide variety of projects you’ll never be short of interesting challenges.

  • You will use some of the most interesting datasets on the market that are just waiting for you to get even more business value out of them. You’ll work with tabular, natural language, image and time series data.

  • You will combine multiple data sources, domain knowledge, and advanced ML techniques to deliver high-quality models.

  • Our employees regularly attend conferences in Poland and abroad (Europe & US), and each team has its own budget for training and study aids. If you want to keep growing and share your knowledge, we’ve got you covered.

We offer:

  • 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 company's results)

  • Long-term discretionary incentive plan based on Allegro.eu shares

  • Fully sponsored English classes, related to the specific nature of your job

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

Send in your CV and see why it is #dobrzetubyć (#goodtobehere)

Top Skills

Python
The Company
Poznań
4,172 Employees
On-site Workplace
Year Founded: 1999

What We Do

Allegro is the most popular shopping platform in Poland and the largest e-commerce platform of European origin. We operate a marketplace model which means that customers can buy whatever they need from over 135,000 merchants, who can list an unlimited number of offers on our platform. We offer products in all key categories including Automotive, Fashion, Home&Garden, Electronics, Books and Collectibles, Kids or Health and Beauty. Each month, 22 million customers visit our platform, which is equivalent to almost 80% of all Internet users in Poland. They can choose from over 250m offers at the most attractive prices with maximum convenience including fast and free deliveries under the Allegro Smart! programme, modern financial services (Allegro Pay), as well as Poland’s widest 50k pickup points network. In 2019 we celebrated the 20th anniversary of Allegro in Poland. For over two decades, we have been serving consumers and promoting the idea of entrepreneurship in one of the most innovative areas of the economy. We have come a long way from an auction site for private individuals looking for a modern alternative to their local flea market. Today, we are a vibrant international marketplace platform for professional sellers and a must-have sales channel for top international brands and retailers. We currently employ more than 7000 employees and each of us ranks among the best experts in their field. Whether it’s in Technology, Customer Experience, Commerce, Delivery Experience or many other teams, we’re all proud to say that Allegro employs the best people on the market and all of us are ready to admit that it’s #goodtobehere.

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