Data Science Analyst

Posted 22 Days Ago
Be an Early Applicant
Warsaw, Warszawa, Mazowieckie
Junior
eCommerce • Information Technology
The Role
The Data Science Analyst role involves assessing the value of ML projects, analyzing the ML pipeline, and mining data to validate hypotheses. Responsibilities include designing experiments for ML, developing methodologies, and working with data visualization tools. Technical skills in Python and SQL are essential for this position.
Summary Generated by Built In

Opis oferty pracy

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)

Top Skills

Python
SQL
The Company
Poznań
4,172 Employees
On-site Workplace
Year Founded: 1999

What We Do

Allegro is the most popular shopping platform in Poland and the largest e-commerce platform of European origin. We operate a marketplace model which means that customers can buy whatever they need from over 135,000 merchants, who can list an unlimited number of offers on our platform. We offer products in all key categories including Automotive, Fashion, Home&Garden, Electronics, Books and Collectibles, Kids or Health and Beauty. Each month, 22 million customers visit our platform, which is equivalent to almost 80% of all Internet users in Poland. They can choose from over 250m offers at the most attractive prices with maximum convenience including fast and free deliveries under the Allegro Smart! programme, modern financial services (Allegro Pay), as well as Poland’s widest 50k pickup points network. In 2019 we celebrated the 20th anniversary of Allegro in Poland. For over two decades, we have been serving consumers and promoting the idea of entrepreneurship in one of the most innovative areas of the economy. We have come a long way from an auction site for private individuals looking for a modern alternative to their local flea market. Today, we are a vibrant international marketplace platform for professional sellers and a must-have sales channel for top international brands and retailers. We currently employ more than 7000 employees and each of us ranks among the best experts in their field. Whether it’s in Technology, Customer Experience, Commerce, Delivery Experience or many other teams, we’re all proud to say that Allegro employs the best people on the market and all of us are ready to admit that it’s #goodtobehere.

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