Data Science Analyst
Warsaw, Poland
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 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 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
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
This may also interest you
Allegro Tech Podcast → https://podcast.allegro.tech/
Send in your CV and see why it is #dobrzetubyć (#goodtobehere)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Big Data Data Analytics E-commerce Engineering Finance GCP Git GitHub Google Cloud Kanban Looker Machine Learning Mathematics Open Source Probability theory Python Scrum SQL Statistical modeling Statistics Tableau
Perks/benefits: Career development Gear Health care Lunch / meals
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