Data Scientist (Search)

Job Description

Welcome to the Consumer Data Science Team, where we ignite the power of information to uncover the perfect products our clients are looking for. Our mission is to optimize the search experience by crafting cutting-edge processes and innovative solutions. Diversity is at the heart of our daily work, as we delve into a vast array of topics and harness a variety of advanced modeling techniques and technologies. Armed with state-of-the-art tools, we tackle colossal datasets, forging analytical solutions that propel Allegro search engine to new heights. Join us on this exhilarating journey as we pave the way for seamless exploration of the world of products.

Your main responsibilities

• Analysis of users’ behavior in order to build machine learning models necessary for the further development of the Allegro search engine. In particular, working on the relevance of search results and similar products
• Working with engineers to build and improve the availability, integrity, accuracy, and reliability of data and data pipelines
• Processing and automation petabytes of data with Python, PySpark, BigQuery, XGBoost, TensorFlow
• Participation in research whose results and recommendations will have a direct impact on the direction of development of search products,
• Creating innovative systems based on NLP and ML algorithms, which help to better understand the intentions of users
• Using a wide range of model types, including boosting models, Bayesian methods, causal inference, optimization methods, deep learning
• Working not only with tabular data, but also with natural language texts, images and time series

We are looking for people who:

• Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science or similar major
• Have experience in solving business problems using statistical methods and machine learning. Practical experience in working with Natural Language Processing (NLP) is desirable
• 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
• Have at least basic experience in analyzing large volumes of data

Why is it worth working with us?

• Data Science plays a key role in the operation of Allegro – we are a data-driven technology company, and through the models and analyzes provided you will have a significant impact on the operation of one of the largest eCommerce platforms in the world
• 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, MLFlow, GCP BigQuery, Tableau, Composer, Dataflow, PySpark
• 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

What we offer

• A hybrid work model that you will agree on with your leader and the team. 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 up to 10% of the annual salary gross (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
• Laptop with m1 processor, 32GB RAM, SSD – a 16” or 14” MacBook Pro or corresponding Dell with Windows (if you don’t like Macs), two monitors and all other gadgets that you should 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, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)
• If you want to learn more, check it out