Senior Data Scientists AI, Advanced Analytics & Data to our AI domain

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.
At H&M, we are all on the same team in a global environment where we learn from each other and grow together. We live our values and know that sharing knowledge is the best way to continuously improve our ways of working and creating.
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.
There are countless reasons for you to consider joining H&M, but here is a list we think summarizes the most important ones:
There are tremendous amounts of growth opportunities: we have many courses and workshops running so that you can become your best-self;
You will be surrounded by incredible colleagues from all around the globe;
You will experience what being part of a large organization means;
The opportunity to always be on the forefront of tech and fashion

H&M Business Tech is the global function delivering innovative technological solutions for the entire value chain of all our brands.




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!
Do what you are most passionate about and drive change together with us! The job of a Senior Data Scientist within the H&M group comes with a lot of responsibility – and lots of fun. In your role you will work in collaboration with our business and engineering people both within your team and supporting teams, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling and machine learning.


To be able to succeed in this role, we believe you have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding about how the business performs.


Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results in a global scale.


Furthermore, you will:


- Pairing with Machine Learning Engineers and Software developers, develop machine learning software product including but not limited to exploring large data sets, trying out new algorithms, feature engineering, testing and evaluating model outputs, deploying the solutions for production usage and scale out to the comprehensive fashion network of H&M


- Develop an understanding of business problems and formulate short and long term solutions to them


- Support your colleagues and business stakeholders in understanding algorithms and decisions made by AI systems


- Combine, explore and draw insights from data. Often large and complex data assets from different parts of the business.


- Develop tools and framework to address common needs in machine learning project like model traceability, feature reuse, A/B testing, etc.


- Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders to build the AI ecosystem within H&M




Qualifications


Your mindset & skills


Our journey will lead to something new and exciting - we will test, fail and learn. You are an important player in this transformation; therefore, we believe you are flexible, stress-resistant and able to work in an environment that is not yet formalized.


Who you are:


- 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


- Are a hands-on person 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, analytics or similar areas


- Are able to independently implement algorithms and models to production with at least one programming language with support from our machine learning engineers. You are always looking for opportunities to automate and simplify existing solutions.


- Have experience in agile environment, team collaboration, data-driven development, reliable and responsible experimentation


In addition we appreciate:


- Experience in working with production level machine learning systems


- Experience in working optimization problems and knowledge of optimization libraries and solvers


- Experience in Spark and distributed computing


- Experience in working with time series data




Additional Information


Do you think we are a match? We hope so!


This is a fulltime position with placement in Stockholm. Please apply with CV and Cover Letter (in English) as soon as possible .


We review applications on an ongoing basis. Due to GDPR, we don’t accept applications via email. We love code! If you have contributed to Github project(s), also send those to us together with the CV. We are more than happy to take a look!

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