Requirements: English
Company: Allegro
Region: Warsaw , Masovian Voivodeship
Job Description
A hybrid work model requires 1 day a week in the office (Warsaw).
In the Consumer area, we pursue the best possible customer experience, starting from main site visits, through browsing, searching and comparing listings, to the purchasing process and post-purchase services on all platforms (web, mobile web, iOS and Android). We are responsible for external traffic that involves thousand of requests per second. We have hundreds of millions of records in our database, microservice architecture on the back-end, and micro-frontends.
We conduct dozens of experiments, test hundreds of variants, analyse results and draw conclusions that we convert into specific tasks. We systematically take care of the fast and smooth operations of our sites. We monitor and solve issues related to efficiency, developing an optimum code to provide clients with the best user experience at Allegro.
We have nearly 30 teams made up of engineers that have various skills. We also cooperate with designers, researchers and analysts.
As a Senior Data Scientist within the Consumer area you will be working on new recommendation and personalization models based on customer behavior and purchases. You'll prepare automated algorithms used to serve personalized content and placements on the home page.
Technologies youll encounter on the job are (among others): Python, Airflow, Big Query, GCP, Spark, VertexAI, Looker Studio.
Why is it worth working with us, and what sets us apart?
- We are a team that is not afraid of hard problems and is constantly looking for development opportunities. We have a track record of deploying our models at a large scale and focus on bringing the impact on production. With a wide variety of projects youll never be short of interesting challenges.
- You will use some of the most interesting datasets on the market that are just waiting for you to get even more business value out of them. Youll work with tabular, natural language, image and time series data.
- You will combine multiple data sources, domain knowledge, and advanced ML techniques to deliver high-quality models.
- Our employees regularly attend conferences in Poland and abroad (Europe & US), and each team has its own budget for training and study aids. If you want to keep growing and share your knowledge, weve got you covered.
We offer:
- High impact and opportunity to design the ML backbone of largest eCommerce platform in Poland and one of largest in Europe
- Multidisciplinary nature of work at the intersection of business and technology, 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 office (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
- 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)
- Annual bonus of 10% of the gross annual salary (depending on your end-year assessment and the company's results)
- Long-term discretionary incentive plan based on Allegro.eu shares
- Fully sponsored English classes, related to the specific nature of your job
Our offer is addressed to people who:
- Graduated with a degree in Mathematics, Economics, Computer Science or a similar major
- Have at least 4-5 years of experience in data science, with some models launched to production
- Have experience with large scale models and data processing
- 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
- Understand statistical and machine learning methods, especially algorithms based on decision trees
Send in your CV and see why it is #dobrzetubyc (#goodtobehere)