Informacje o stanowisku

A hybrid work model requires 1 - 2 days a week in the office.

Please note: Despite being a role within the Data Science team, this is primarily an Analyst position. We are seeking candidates with strong analytical prowess, not specifically looking for a Data Scientist.

About the team

The Data Science Hub is the place where we apply analytical techniques, mathematics, and machine learning to solve a wide range of business problems. We provide valuable insights and make informed decisions by processing terabytes of data on a daily basis. Our team offers excellent growth opportunities and a rare chance to gain interdisciplinary knowledge about the functioning of e-commerce platforms. The breadth of our impact on different business domains is exemplified by our diverse portfolio of projects, which includes: logistics, logistic network optimization, marketing, pricing, finance, and more.

Data Science Hub consists of 5 teams:

• 3 Data Science teams,
• Data Analytics team,
• Data Engineering team.

We are looking for new members for the Data Analytics team. 

We are looking for people who

• Are very familiar with Python and SQL
• Have basic knowledge of ML modeling 
• Have at least 1 year of experience working as an analyst
• Worked with Git
• Knowing Looker Studio or Tableau is advantageous
• Worked with tabular data and their visual representations
• Understand mathematical concepts, statistical modeling, and probability theory
• Are not afraid to challenge the current state of things
• Understand how the business side of data projects works
• Are curious and open to learning new things
• Know English at B2+ level

In your daily work you will handle the following tasks

• You will become part of a team that is responsible for assessing incremental value for ML projects
• You will be analyzing the complete ML pipeline, highlighting potential areas for improvement and bottlenecks
• Daily, you will mine data to prove/disprove hypotheses
• Designing experiments for ML projects, such as AB tests, causality exploration, and model analysis, and subsequently offering insights derived from observations.
• You will co-develop new methodologies and functionalities inside of internal Python library

What we offer

• 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 dont 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

Why is it worth working with us

• We are researching and developing our own state-of-the-art tools
• Big Data – several petabytes of data and Machine Learning used in production
• We practice Code Review, Continuous Integration, Scrum/Kanban, Domain Driven Design, Test Driven Development, Pair Programming, depending on the team
• Our deployment environment combines private Data Centers (tens of thousands of servers) and Public Clouds (Google Cloud and Microsoft Azure)
• Over 100 original open-source projects and a few thousand stars on GitHub

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