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 daily. 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.
What does this role involve
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
We are looking for people who
have great practical knowledge of 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
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)
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 are related to the specific nature of your job
The necessary tools for work
Working in a team you can always count on — we have on board top-class specialists and experts to learn from
Hackathons 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)
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
Do you want to get to know us better? Listen to: Allegro Tech Podcast
Send in your CV, join the experience, and see why it is #dobrzetubyć (#goodtobehere)
