OUTFITTERY GmbH

OUTFITTERY GmbH owns and operates an online men's apparel retail portal under the name Outfittery. It provides a service whereby users answer few questions in an online questionnaire and are then contacted by their personal stylists to discuss the details of their outfit box selected for and delivered to the users. The company was founded in 2012 and is based in Berlin, Germany.

OUTFITTERY GmbH Berlin, Germany
30/08/2018
Full time
OUTFITTERY  is Europe’s largest Personal Shopping Service for men. We know that shopping isn’t a pleasure for every man, but we’re here to change that! This is why we set a clear goal: a world where men have time for the important things in life and are still well-dressed. Your tasks: Build and maintain our data and analytics infrastructure Grow our analytics capabilities with faster, more reliable data pipelines, and better algorithms Develop a real-time events pipeline and work with data scientists, data analysts, backend engineers and product managers to find new ways to leverage these data Collect, transform and prepare our data sources to provide data in a reliable and scalable manner to the rest of the organisation Optimise and migrate existing data procedures into the data platform Solve challenging problems in areas such as distributed systems, integration of machine learning algorithms and data processing Your profile: At least 3 years experience as a Data Engineer or as Software Engineer building scalable data systems Hands-on experience with big data technologies such as Spark, Flink, Hadoop, Kafka and Elasticsearch Experience with relational database technologies such as PostgreSQL, Hive, etc. Experience building scalable software to process large amounts of data Experience in developing and optimizing data pipelines Solid programming skills in Java/Scala We offer: An international and smart team which is eager to revolutionize shopping for men A transparent company culture with highly motivated colleagues, which work on our ambitious goals An exciting and responsible role, with great impact An honest and open feedback culture and individual development opportunities
OUTFITTERY GmbH Berlin, Germany
30/08/2018
Full time
OUTFITTERY  is Europe’s largest Personal Shopping Service for men. We know that shopping isn’t a pleasure for every man, but we’re here to change that! This is why we set a clear goal: a world where men have time for the important things in life and are still well-dressed. Are you looking for an amazing playground, where you can apply your machine learning skills? Do you want to take over responsibility in building up a data driven company? Then become part of our Data Department as a Machine Learning Specialist (m/f)!   The team: The Data Science team works at the intersection of statistics, machine learning and engineering to tackle some of the most challenging and interesting problems, ranging from deep learning, multi-modal feature representation to working with unstructured text and image data. The ideal candidate has a strong background in machine learning and is passionate about solving real-world problems. We are looking for someone who believes in implementing and testing ideas rather than talking about them; someone who loves building data products and models.   The role: In this role, you will closely collaborate with colleagues within the data science team to conceptualize, implement and evaluate state-of-the-art algorithmic solutions. You will be likewise responsible of conducting exploratory research and its transfer into a final product. This is an opportunity to work in a highly impactful role that will be transformative to Outfittery. The ideal candidate should be equally comfortable writing code, choosing the appropriate statistical methods, and communicating with a technical audience. Qualifications: PhD (or comparable) degree in Machine Learning, Computer Vision, Data Mining, or similar Academic track record or proven applied research experience in one of the following areas: deep learning, Bayesian inference, computer vision or recommender system, natural language processing, multi-modal representation Sound theoretical knowledge about machine learning and computational statistics as well as knowing best practices in their application Solid software engineering skills for prototype development and the implementation of experimental setups Deep skepticism of buzzword mumbo jumbo, plus the ability to identify and debunk false assumptions and analytical flaws is a strong plus. Our offer: Data, data, data An highly impactful and creative role in a company with Data Science at its core An amazing playground for all sorts of machine learning applications A proprietary world-class A/B testing platform A high level of personal responsibility and a great deal of creative freedom An honest and open feedback culture and individual development opportunities