Data Scientist

Opening soon:) 

The brain of the entire Allegro.

Here, we implement projects based on a practical application of artificial intelligence and Data Science (e.g. search engine and recommendations, customer service automation, fraud detection) on a scale unprecedented in Poland. In order to effectively implement ML solutions and automate existing processes, we need the support of inquisitive, experienced and data driven individuals. The ones willing to be up to date on newest SoTA algorithms and advancements in AI, from new deep learning architectures, explainable AI and GenAI but still grounded and aware of statistics and predictive modelling. In Allegro you will work with solutions from prototypes to create stable, high-performance solutions (e.g. support for millions of RPS in the search engine) and combine these services with batch and stream processing analyzing real BigData (also in the public cloud).

At Allegro Data Scientists works across different teams, either directly in the AI hub focused on developing large AI solutions or in the dedicated Data Science teams across domains such as consumer analytics and search, logistics and geographical modeling, product catalog and merchant analytics etc.

What will your job involve?

• Co-creating projects on each stage - from concept to productization - to deliver insights and models solving business problems from different areas

• Using a wide range of model types, including boosting models, Bayesian methods, causal inference, optimization methods, deep learning and Generative AI solutions including LLMs and Agentic AI

• Processing terabytes of data using Google Cloud Platform solutions

• Working not only with tabular data, but also with spatial data, natural language texts, images and time series

• Taking part in implementations of off-line and on-line models

• Brainstorm, provide mentorship, share knowledge

• Cooperation with other teams: business stake-holders, analytics, data engineers

• Data Science plays a key role in the operation of Allegro - we are a data-driven technology company, and through the models and analyses provided you will have a significant impact on one of the largest eCommerce platforms in the world

• You will have a possibility of developing AI tools from prototypes to large production solutions that will have real impact on our users, merchants and employees. Thanks to the wide range of projects we carry out, you will never run out of interesting challenges

• Support of experienced Data Scientists - there is always someone to exchange ideas with, because we have the best specialists and experts in their field on board

• You will have access to huge data sets and the latest data processing technologies

• You will have the opportunity to learn the tools and technologies in practice:
  Python (including various ML libraries), GCP environment (BigQuery, VertexAI, Cloud Composer, Dataflow), Airflow, PySpark, Gemini/GPT models

• You will learn good programming, engineering and code management practices

• We share our knowledge at industry conferences and trainings, we are an active participant and co-creator of the Data Science / Machine Learning community in Poland and in the world

• Flexible working hours in an office first model (4/1). 

• We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)

• Annual bonus (depending on your annual assessment and the company's results)

• 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)

• English classes that we pay for related to the specific nature of your job

• 16" or 14" MacBook Pro or a corresponding Dell with Windows (if you don't like Macs) and other gadgets that you may need

• A high degree of autonomy in terms of organizing your team's work; we encourage you to develop continuously and try out new things

• Hackathons, team tourism, training budget and an internal educational platform (including training courses on work organization, means of communications, GenAI and various technologies and subject-matter issues)

• License to use AI assistants in code generation with clear guidelines on human-oversight, trainings in effectively using GenAI and agentic AI

• Possibility to attend AI conferences and events

• If you want to learn more, check it out

• Have experience in data analysis using SQL and building machine learning solutions in production environments, especially with end-to-end experience in designing ML models

• Want to translate business challenges into ML problems

• Can clearly communicate with business units - from formulating an analytical problem to a clear and intuitive presentation of results

• Program in Python and efficiently use basic development tools

• Understand statistical and machine learning methods

• Embrace modern tooling, specifically possessing practical and theoretical knowledge of Generative AI and Agentic AI principles (coding tools, prompting, validation). The ideal candidate enthusiastically leverages GenAI coding tools (like Copilot) to boost and automate workflows,  remaining up-to-date and critically engaged with the newest GenAI tooling.

• Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science (or similar major) or job experience in data science / ML positions.

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