Data Science Innovator
5 godzin temu
Allegro, a data-driven technology company, plays a key role in the operation of one of the largest eCommerce platforms in the world. Our team at Data Science Hub creates solutions based on Data Science and Machine Learning for business teams at Allegro.
Job Description
As a Senior Data Scientist, you will co-create projects from concept to productization to deliver insights and models solving business problems. You will use a wide range of model types, including boosting models, Bayesian methods, causal inference, optimization methods, deep learning, and process terabytes of data using Google Cloud Platform solutions.
You will work not only with tabular data but also with spatial data, natural language texts, images, and time series. You will take part in implementations of off-line and on-line models and provide technical leadership and mentorship to junior and mid-level data scientists.
Required Skills and Qualifications
To be successful in this role, you should have a strong degree in a field related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science, or similar major. You should have at least 2 years of experience in data analysis using SQL and building machine learning solutions.
You should be able to translate business challenges into ML problems and clearly communicate with business units from formulating an analytical problem to a clear and intuitive presentation of results. You should program in Python and efficiently use basic development tools, and understand statistical and machine learning methods, especially ones used for forecasting and algorithms based on decision trees.
Benefits
We offer a hybrid work model that you will agree on with your leader and the team. We have well-located offices with fully equipped kitchens and bicycle parking facilities. You will have access to excellent working tools, height-adjustable desks, and interactive conference rooms.
We offer an annual bonus up to 10% of the annual salary gross, depending on your annual assessment and the company's results. You will have 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).
We also offer English classes paid for related to the specific nature of your job, a high degree of autonomy in terms of organizing your team's work, and encouragement to develop continuously and try out new things.
Additionally, you will have opportunities for 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).
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