Big-Data Platform and Data Engineer / Data Scientist at Easysize at Easysize

Copenhagen · Full Time

Preventing returns in fashion e-commerce with machine learning

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Job Description

Easysize is looking for an experienced Big Data Platform and Data Engineer / Data Scientist to join our team in Copenhagen.

We are growing and are looking for a person to lead our effort to level-up our infrastructure and data processes to handle ever-larger data volumes and prediction requests.

You’ll be working on improving real time delivery of predictions, our existing algorithms, experimenting and improving data structures, helping to build new analytical tools and dashboards for fashion retailers. Our data comes from various retailers and third-party services all around the world. We ship product improvements on a daily basis, and constantly work on optimising accuracy, performance and speed of the size prediction. The ideal candidate for this role will help in increasing the volume of data we can ingest and the speed with which our API returns predictions to our customers.

Your Skills / Experience:
– Experience with big data (Spark, Hadoop, Kafka, etc.). You will lead our effort to migrate technologies to support our scale. You will also work on supporting these technologies after they are set up.
– Practical knowledge in analysis on large sets of categorical data (statistical modelling, predictive analysis, probabilistic modelling, supervised learning).
– Python and general programming skills.
– Passion for algorithms, data and problem solving.

You will get to:
- Work with fashion data on millions users.
- Work on performance and accuracy of our algorithms.
- Take part in product development and company life.

You might be the right fit, if:
- You’re able to take a responsibility and a lead in “big data” vertical in the company and grow, as the company evolves.
- You are a team player.
- You are product oriented: Great code is only great if it solves real problems for the customer.
- You enjoy moving fast.

About Easysize:
Easysize helps online fashion retailers and brands to reduce returns using data driven approach. Large database and machine learning help us to predict the right clothing size and identify possible returns.

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What We're Building

Easysize uses an advanced algorithm to analyze customer purchase and return behaviours and predicts whether a product will be returned or not.

Our cosy office in the centre of Copenhagen
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Easysize Team

Gulnaz Khusainova
CEO & Founder at EasySize 7+ years experience in IT & Marketing, MSc in Strategic marketing, experience in big data technologies, Founder of 3 startups.
David Babayan
CTO, Lead developer 4 years as Lead backend developer/CTO 2 years as Product Manager and CTO in Mobile 3 years as SAP consultant MSc in Computer Science
Gabriel Paulison
Run Product @Easysize Before that @Brisk.io and founder @Qnekt and @Noded.
Rozarina Bakher
Lived and worked in Malaysia, Singapore, Japan, Denmark, UK, VietNam and Sweden. Founded two companies in high-end lifestyle goods in UK and HKG.

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Easysize Investors

Klaus Nyengaard
Entrepreneur & Business Angel + some
Sean Percival
Investor and entrepreneur. Partner @Katapult Accelerator Former @500 Startups, @Science and @MySpace
Hampus Jakobsson
Deep tech angel investor. Venture Partner at @BlueYard Capital. Prev: Founder @TAT (acquired by RIM served 2 years as head of M&A EMEA) and @Brisk.io. M.Sc.CS.
Lars Buch
Ex-head of Nokia Symbian Smartphones Cph turned entrepreneur turned angel investor.
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