Senior Data Scientist to recommendation engine product team

Company Description


At H&M, we are on an exciting journey where fashion and tech make magic together. As rapid technological development and new customer behaviors are transforming the fashion retail industry, our mission is to meet and exceed our customers' expectations. All while keeping in mind sustainable practices. We know that the best ideas evolve when great minds with different backgrounds and perspectives get together.
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. H&M Group – Business Tech.


Job Description


Are you a Senior Data Scientist that wants to work with one of the fashion industries biggest data sets and use cutting edge technology to make an impact on a global scale? If the answer is yes, then this is the opportunity for you!
We are looking for a Senior Data Scientist to join our recommendation engine product team within the AI Domain at H&M Group Business Tech. This role comes with a lot of responsibility – and lots of fun. To be able to succeed in this role, we believe you have a strong foundation in analytics, mathematical modeling, computer science, and deep learning - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding about how the business performs.


As a Senior Data Scientist, you will:
- Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders.
- Help to develop and scale a cutting-edge recommendation engine, evaluating various datasets, including feature engineering, testing, and constantly improving performance of the models.


- Develop existing use cases and formulate short and long term solutions to bring the most value to the existing stakeholders.

- Communicate and present the outcomes to colleagues and stakeholders.
- Design, perform and analyze a/b testings

- Participate in designing an architecture and scalable infrastructure to address product needs


Qualifications


Who you are:
- You are flexible, creative, motivated team player and willing to work in an environment that is not always completely formalized.

- Have a degree within applied mathematics, statistics, physics or engineering or similar field (e.g. machine learning) and a strong will to continuously develop your skillset

- A hands-on person (python/py-spark) and a problem solver, you thrive in solving practical business problems with data and machine learning models

- You have the ability to understand business requirements and generate insights and you have strong communication skills, orally and in writing. You are able to drive forward the best solutions

- Have 5+ years working experience in data science and machine learning.

In addition we highly appreciate:

- Experience in working with production level machine learning systems, Spark and distributed computing.

- Experience in recommendation systems, real time data and optimization.
- Experience with GCP infrastructure and built-in APIs


Additional Information


This is a full-time position with placement in Stockholm, starting as soon as possible.
Please apply with CV (in English) as soon as possible. We review applications on an ongoing basis. Due to GDPR, we don’t accept applications via email.

Kindly do not send applications to this email address, due to GDPR, we only accept applications through our career page.
We look forward to receiving your application!
In Business Tech, we will continuously surprise and delight our customers and accelerate our business - by releasing the power of people, data and technology. We explore new ways of working, have a customer focused mindset, embrace our strong values and release the power of our people to innovate and develop products that make a meaningful impact to customers all over the world