Data Scientist

2 tygodni temu

Warszawa, Mazovia, Polska DATA MART Consulting GmbH Pełny etat

At Data Science Hub, we create solutions based on Data Science / Machine Learning for business teams at Allegro. Our daily work is characterized by diversity, both in terms of the topics analyzed and the modeling techniques and technologies used. It is a great place for people who expect opportunities for continuous development and a unique opportunity to gain multidisciplinary knowledge about the activities of eCommerce platforms. Our portfolio of projects included supporting domains such as:

modeling user behavior (buyers and sellers)

advertising campaigns (e.g. thematic recommendations)

promotional pricing and sales campaigns

indicator forecasts at the level of the entire platform (e.g. demand for products)

What will your job involve?

Building models that solve business problems - predictive, segmentation, forecasting, recommendation

Using a wide range of model types, including boosting models, Bayesian methods, causal inference, optimization methods, deep learning

Working not only with tabular data, but also with spatial data, natural language texts, images and time series

Taking part in implementations of off-line and on-line models

Why should you work with us?

Data Science plays a key role in the operation of Allegro - we are a data-driven technology company, and through the models and analyses provided you will have a significant impact on one of the largest eCommerce platforms in the world

Thanks to the wide range of projects we carry out, you will never run out of interesting challenges

Support of experienced Data Scientists - there is always someone to exchange ideas with, because we have the best specialists and experts in their field on board

You will have access to huge data sets and the latest data processing technologies

You will have the opportunity to learn the tools and technologies in practice:
Python, MLFlow, GCP BigQuery, Tableau, Composer, Dataflow, PySpark.

You will learn good programming, engineering and code management practices

We share our knowledge at industry conferences and trainings, we are an active participant and co-creator of the Data Science / Machine Learning community in Poland and in the world

What we offer:

A hybrid work model that you will agree on with your leader and the team. We have well-located office(with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)

Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results)

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

16" or 14" MacBook Pro with M1 processor and, 32GB RAM or a corresponding Dell with Windows (if you don't like Macs) and other gadgets that you may need

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)

Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science or similar major

Have at least 2 years of experience in data analysis using SQL and building machine learning solutions

Want to translate business challenges into ML problems

Can clearly communicate with business units - from formulating an analytical problem to a clear and intuitive presentation of results

Program in Python and efficiently use basic development tools

Understand statistical and machine learning methods, especially ones used for forecasting and algorithms based on decision trees

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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