Data Science Analyst

2 tygodni temu

Warszawa, Mazovia, Polska DATA MART Consulting GmbH Pełny etat

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)

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

Send in your CV and see why it is #dobrzetubyć (#goodtobehere)

What candidates love
about our recruitment process?

Substantive feedback and tips for further development

Clear and fast contact during the entire process

A practice-focused skills review

Recruiters with knowledge and passion

A relaxed atmosphere during the interview

Or recommend a friend and get a chance to get rewarded
You can do it even if you don't work at Allegro.

#J-18808-Ljbffr

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