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Data Science Analyst

1 miesiąc temu

Warsaw, Polska Allegro Pełny etat

Expected, SQL, Python, Looker, Tableau
About the project, 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., , 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.
Your responsibilities, 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:, 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
This is how we work, in house, scrum, kanban
This is how we work on a project, code review, DDD, pair programming, TDD, Continuous Integration
Development opportunities we offer, development budget, industry-specific e-learning platforms, intracompany training
What we offer, A hybrid work model requires 1 - 2 days a week in the office., 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 don't 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
Benefits, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, integration events, no dress code, leisure zone, extra social benefits
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
Allegro , Allegro, the most popular shopping platform in Poland and the largest e-commerce platform of European origin, is now connected with the Mall Group and WE|DO. We became a leading marketplace platform for European customers and merchants and enabled international merchants from across the wider geographical footprint and beyond to benefit from listing once and selling everywhere, while granting tens of millions of EU consumers convenient access to improved selection, best prices and delivery experience., , We are constantly improving the shopping experience and provide the broadest selection at best prices and maximum convenience for 70m potential customers across the region (Poland, the Czech Republic, Slovakia, Hungary, Slovenia, and Croatia).

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