Job Description

Join the Merchant Experience Analytics & Science team as we're on the lookout for talented Data Scientists ready to redefine the merchant experience and build a dynamic growth platform for Merchants.

Our primary mission is to push the boundaries and reimagine the merchant experience by infusing innovation and effectiveness through rigorous analytics and inventive data science.

In our day-to-day operations, we have a high regard for diversified perspectives, encouraging a broad spectrum of ideas that lead to innovative problem-solving. Our scope of investigation is vast, and we employ a dynamic mix of methods and tools that foster creativity and promote skill development. This opportunity opens up a platform to make a difference, shaping future merchant experiences.

Key Collaborations:

• You'll work closely with our Product Analysts, ensuring our product development is data-informed and user-centered
• Contribute in agile teams with our vibrant Data Engineers, solving complex problems and enhancing data-infrastructure
• Engage with Data Analysts to translate numbers into action, creating a positive merchant experience
• Play pivotal role within the product development cycle, collaborating with Product Managers, development teams and UX Designers and Researchers to ensure our product’s usability and success

What will your work consist of?

• You will build models that solve business problems - predictive, segmentation, prognostic, recommendation, as well as use optimization methods
• Your task will be to provide data-based product recommendations, as well as searching for new solutions and indicating new directions for Allegro's development, in cooperation with the product team
• Using a wide range of model types, including boosting models, Bayesian methods, causal inference, optimization methods, deep learning 
• Processing big data in GCP
• 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

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

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 minimum of 3 years of experience in a Product Scientist role or a similar capacity
• Understand statistical and machine learning methods
• Can effectively communicate with business units, from formulating an analytical problem to providing a clear and intuitive presentation of results.
• Program in Python and efficiently use basic development tools
• Have strong analytical skills for interpreting complex data.
• Know English at a minimum level of B2

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
• A 16” or 14” MacBook Pro or corresponding Dell with Windows (if you don’t like Macs) and all other gadgets that you should 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

Send in your CV and see why it is #goodtobehere!