About PVH Corp.
PVH is one of the most admired fashion and lifestyle companies in the world. We power brands that drive fashion forward – for good. Our brand portfolio includes the iconic CALVIN KLEIN, TOMMY HILFIGER, Van Heusen, IZOD, ARROW, Warner’s, Olga and Geoffrey Beene brands, as well as the digital-centric True&Co. intimates brand. We market a variety of goods under these and other nationally and internationally known owned and licensed brands. PVH has over 40,000 associates operating in over 40 countries and $9.9 billion in annual revenues. That's the Power of Us. That’s the Power of PVH.
The Analytics & Business Intelligence Centre (ABI) based in Amsterdam is a designated group of Advanced Analytics (AA) & Business Intelligence (BI) professionals with the time and collective know how to:
maximize the company’s BI investments;
mapping out Business Intelligence Strategies; and
driving Advanced Analytics.
The Analytics & Business Intelligence Department has been established to consolidate all of AA and BI efforts under one roof to create powerful business insights.
The Advanced Analytics and Data Science team is supporting the business through the development of data science models. We build products to help the business become more data-driven.
PVH is looking for a Machine Learning Engineer to join our teams. You will be working with Data Scientists to build and expose Data Science models to the business. If you consider yourself to be a good programmer and would like to be a Data Scientist and developer at the same time, then we’d like to hear from you.
Mine the data from internal and external sources
Help building and deploying robust and future proof Data Science models
Help building efficient methods of data preparation
Be able to create scalable solutions, experience of building 24/7 hi-load services and applications
Be aware about new ways and best practices of developments in Machine Learning field
The Ideal Candidate has:
Strong object oriented programming experience and proficiency in Python
Experience of working with popular Python data-related packages such as numpy/pandas
Ability to write efficient code and optimize existing applications
Experience of deploying Deep Learning models, preferably Tensorflow
Ability to build Web Services, write Hadoop/Hive/Spark code
Distinctive plus: GPU programming experience, UI and mobile development experience, AWS knowledge, SAP products knowledge, in particular SAP BW, SAP HANA
Working experience in Windows and *nix OS environments
Good communication skills
What You Can Expect from Us:
A beautiful state-of-the-art Campus, complete with our very own People's Place Gym and People's Place Cafés
A company culture that fosters development, offering training and learning opportunities through our very own PVH University
An international environment which respects diversity, equality, and individuality
A smart work program that empowers our associates to work at their preferred location within a flexible schedule
A chance to unwind with weekly social activities
Please include a cover letter with your application. We would love to know why this is THE role for you!
PVH Europe and our brands, TOMMY HILFIGER and CALVIN KLEIN, are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. We believe we are bettered by all forms of diversity, and take pride in working with top talent from every walk of life and corner of the world. In the spirit of inclusivity, qualified applicants will be considered without regard to age, ethnicity, ability, gender, gender expression, gender identity, nationality, race, religion or sexual orientation.
COVID-19 and Working at PVH
As we continue to navigate the impact of COVID-19 and look ahead to shaping our new ways of working, the health, safety and well-being of our associates remains our #1 priority. This means all of our teams, including HR, work a bit differently*. Our Recruiting process is conducted remotely, primarily via phone and video calls. New hires will be welcomed through an adapted, at-home onboarding program. Equipment will be delivered safely to your front doors.
We will continue to work this way until September 2021, and are looking to shape a more hybrid work-from-home / office model in the coming months.