Experienced Data Science Professional Wanted
7 godzin temu
- Influence the shape of Ads products and improve the experience of Allegro customers through the development of Machine Learning solutions
- Train Machine Learning models that meet Ads product needs and are aligned with strategic vision all in close collaboration with Product Managers
- Cooperate with Product Analysts in designing and conducting A/B tests for new Machine Learning solutions to measure the impact on key product metrics
- Deploy models to production and managing production-running models across its lifecycle (eg. monitoring their performance, diagnostics and improving) collaborating with Machine Learning Engineers and Software Engineers
Requirements
- Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science or similar major
- Have at least 3 years of experience in data science with some models launched to production (on-line models will be an advantage)
- Have deep understanding of statistical and ML methods
- Have experience with large scale models and data processing
- Have basic knowledge about Advertising business and technology (interested in Ads algorithms/recommendations systems will be an advantage)
- Can translate business challenges into ML problems and tackle them using novel approaches
- Are excellent communicators, able to convey technical information to semi and non-technical audiences
- Fluently program in Python and use development tools with ease
- Have an advanced knowledge of SQL
- Know English at a minimum level of B2
What We Offer
- High impact and opportunity to design the ML backbone of largest eCommerce platform in Poland and one of largest in Europe
- Development opportunities in designing cutting edge solutions at scale that bring real value to customers
- Possibility to implement ML solutions which are unique on the market
- Support of experienced Data Scientists and Engineers - there is always someone to exchange ideas with because we have the best specialists and experts in their field on board
- Well-located offices (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
- A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all other gadgets that you should 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, development days, 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)
About Benefits
We understand that every employee has different needs and priorities. Therefore, we offer a variety of fringe benefits that you can choose from. These include medical and sports packages, lunch vouchers, insurance, and more. We also provide English classes that are tailored to your specific job requirements. You will also receive a MacBook Pro or a Dell laptop, along with other necessary equipment. Our team encourages continuous learning and professional growth, offering hackathons, team-building activities, and access to online training platforms.
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