Mid/Senior Data Scientist (Ads Machine Learning Team)

Mid/Senior Data Scientist (Ads Machine Learning Team)

• Warsaw, Poland
• Full-time

Job Description

A hybrid work model requires 1 day a week in the office.

We are looking for an experienced Data Scientist to join the Allegro Ads team, working on Machine Learning projects for the Allegro advertising system. If you would like to apply for this position you should possess a deep knowledge of ML algorithms as well as a solid foundation and experience in deploying models to production. The candidate should be highly engaged in achieving team goals, co-defining project directions, and sharing the expertise within the team at various stages of projects.

Technologies you’ll encounter on the job are (among others): Python, GCP (Big Query, Composer, Vertex AI, Dataproc, Looker Studio), PySpark, Pandas, PyTorch/TensorFlow.

What will your work consist of?

• You will influence the shape of Ads products and improve the experience of Allegro customers through the development of Machine Learning solutions
• You will train Machine Learning models that meet Ads product needs and are aligned with strategic vision all in close collaboration with Product Managers
• You will cooperate with Product Analysts in designing and conducting A/B tests for new Machine Learning solutions to measure the impact on key product metrics
• You will 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

We are looking for 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 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)

Send in your CV and see why it is #goodtobehere!

I'm interested