Data Science Analyst

Job Description

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)