Location:
Warszawa, PL, 00-841
Company: Allegro sp. z o.o.
Team: Technology
Contract Type: Employee
Become a Data Scientist at Allegro's Data Science Hub!
Are you a seasoned Data Scientist ready to make a significant impact on one of the world's largest eCommerce platforms? At Allegro's Data Science 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!
We offer a hybrid work model, with our team based in Warsaw.
What You'll Do:
- Lead impactful projects: From concept to productization, you'll co-create solutions solving complex business problems in DEX/CX/operations, utilizing predictive, segmentation, forecasting, and recommendation models.
- Master diverse techniques: Work with a wide array of models, including GenAI, boosting models, Bayesian methods, causal inference, optimization methods, and deep learning.
- Handle massive datasets: Process terabytes of data using Google Cloud Platform solutions, working with tabular, spatial, 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 2 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 forecasting and decision tree-based algorithms.
What we offer:
- A Hybrid Work Model: Enjoy a hybrid work setup, with well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms).
- Top-tier Equipment: Choose between a Macbook Pro or a corresponding Dell with Windows (if you don't like Macs), and other gadgets that you may need.
- Attractive Compensation: Receive an annual bonus up to 10% of your gross annual salary, based on your performance and company results.
- Personalized Benefits: A wide selection of fringe benefits through a cafeteria plan, allowing you to choose what suits you best (e.g., medical, sports, or lunch packages, insurance, purchase vouchers).
- Professional Development: Free English classes tailored to your job, a high degree of autonomy in organizing team work, hackathons, team tourism, a dedicated training budget, and access to our internal educational platform, MindUp.
- Continuous Growth: We encourage continuous development and trying out new things.
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)!
Don’t wait until you join us! Let's meet online!
Get to know our team, take a peek at our office life and check out what else we do at Allegro.
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