Quandoo

Founded at the end of 2012, Quandoo has developed into the fastest growing restaurant reservation platform globally. With more than 45 million seated diners in over 15,000 restaurants across 11 countries Quandoo offers diners an unmatched choice of dining experiences from Michelin-starred restaurants to local favorites. Quandoo was founded by Philipp Magin, Ronny Lange, Sebastian Moser, Tim-Hendrik Meyer and Daniel P. Glasner. Acquired by Recruit Holdings Co., Ltd. In March 2015, Quandoo now employs over 350 people across 20 offices.

Quandoo Berlin, Germany
14/09/2020
Full time
As a member of the newly formed team, you will be responsible for designing, developing and maintaining systems for ingestion, consolidation and analysis of the restaurant related data. You will perform exploratory data analysis, build new machine learning models and work on tuning and maintenance of the existing models. You will contribute to product and technological decisions to find the best way of achieving the business objectives of the company. Qualifications Required skills and experience: BSc/MSc in Computer Science, Mathematics or any related natural science field, Good knowledge of classical machine learning: regression and classification models, data cleaning and model validation, supervised and unsupervised learning and transfer learning Hands on experience with Tensorflow / PyTorch as well as Scikit-learn and Pandas frameworks 2+ years of professional Python programming experience Good knowledge of SQL-like databases (MySQL,...
Quandoo Berlin, Germany
12/09/2020
Full time
As a member of the Data Engineering Team, you will be responsible for: development and upkeep of data ingestions and processing pipelines for data used by analysts in other teams monitoring and maintenance of data quality and reliability working with business analysts and bring results of their work under your management support analysts with technical expertise and tooling translating requirements of reporting users for platform backend developers Qualifications Sound programming skills, preferably preferably Python + Scala High proficiency in SQL Understanding of ETL concepts, tools and technologies (e.g. Dataflow, Airflow) Understanding of DWH concepts, architecture and technologies (e.g. Redshift, BigQuery) Past experience with cloud technologies (preferably GCP) Experience with Docker and Kubernetes Enthusiasm and willingness to learn and keep up to speed with modern “big data” tech Analytical mind and drive to back decisions with data...