Data Scientist
1 tydzień temu
technologies-expected :
SQL
Python
about-project :
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)
-logistics (e.g. predicting delivery time)
-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)
responsibilities :
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, Graph Neural Networks
Processing big data in GCP
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
requirements-expected :
Our offer is addressed to people who:
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
offered :
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)
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
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