Junior Data Scientist

Become a Junior Data Scientist at Allegro's AI Hub!

Are you a Data Scientist ready to make a significant impact on one of the world's largest eCommerce platforms? At Allegro's AI Hub, we're building cutting-edge solutions using Data Science and Machine Learning that directly influence our business success. If you thrive on diverse challenges, continuous development, and multidisciplinary knowledge, this is the place for you!

What You'll Do

• Lead impactful projects: From concept to productization, you'll co-create solutions solving complex business problems in marketing, utilizing predictive, segmentation and recommendation models.

• Master diverse techniques: Work with a wide array of models, including GenAI, boosting models and neural networks.

• Handle massive datasets: Process terabytes of data using Google Cloud Platform solutions, working with tabular, natural language, image, and time-series data.

• Drive model implementation: Take part in implementing both off-line and on-line models.

• Collaborate across teams: Partner with business stakeholders, analytics, and data engineering teams.

Why Join Our Team

• Shape the future of eCommerce: Data Science is at the core of Allegro's operations. Your models and analyses will have a direct, significant impact on our data-driven technology company.

• Never-ending challenges: Our wide range of projects ensures you'll always have interesting and stimulating work.

• Learn from the best: Collaborate with experienced Data Scientists, specialists, and experts in their field, fostering a culture of knowledge exchange.

• Access cutting-edge resources: Work with vast datasets and the latest data processing technologies.

• Hands-on experience with top tools: Gain practical experience with GenAI, Python, MLFlow, GCP BigQuery, Tableau, Composer, and Dataflow.

• Develop best practices: Learn excellent programming, engineering, and code management practices.

• Contribute to the community: We actively share our knowledge at industry conferences and trainings, shaping the Data Science/Machine Learning community in Poland and globally.

We're Looking For Someone Who Has

• A degree strongly related to statistical/mathematical modeling (Mathematics, Physics, Economics, Computer Science, or similar).

• At least 1 years of experience in data analysis using SQL and building machine learning solutions.

• A passion for translating business challenges into impactful ML problems.

• Excellent communication skills, from formulating analytical problems to clear and intuitive presentation of results.

• Proficiency in Python and efficient use of basic development tools.

• A strong understanding of statistical and machine learning methods, especially those used for neural network and decision tree-based algorithms.

What we offer

• Flexible working hours in an office first model (4/1) that depend on you and your team. Starting later or finishing earlier? No problem! Work hours keep pace with our lifestyles and can start between 7 a.m. and 10 a.m.

• Well-located offices (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)

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

• Macbook Pro / Air (depending on the role) or Dell with Windows (if you don't like Macs) and other gadgets that you may need

• Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise

• 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

Learn More

• Allegro Tech Podcast: https://podcast.allegro.tech/

• Our Benefits: https://jobs.allegro.eu/benefits/

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