Data Scientist - Price Management

Our requirements

• At least 2 years of experience in data analysis using SQL and building machine learning solutions in Python.
• A passion for translating business challenges into impactful AI/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.
• A degree strongly related to statistical/mathematical modeling (Mathematics, Physics, Economics, Computer Science or similar).
• English proficiency on at least B2 level.

Your responsibilities

• Lead impactful projects: From concept to productization, you will co-create solutions solving complex business problems in Price Management area utilizing predictive, segmentation and recommendation models.
• Master diverse techniques: Work with a wide array of models, including GenAI, boosting models, neural networks, causal inference, optimization methods, and deep learning.
• Handle massive datasets: Process terabytes of data using Google Cloud Platform solutions, working with tabular, natural language, image, and time-series data.
• Selected projects (indicative, non-exhaustive): Develop ML models to monitor and continuously improve the incremental GMV generated from price subsidies, Developing advanced data science solutions and predictive insights to detect and prevent fraud within the system

About the project

#goodtobehere means that:

• You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.
• You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.
• You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).
• You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.
• You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.

What we offer

• Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
• Annual bonus based on your annual performance and company results.
• Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
• A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
• 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.
• A training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.
• An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
• Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• integration events
• no dress code
• leisure zone
• extra social benefits