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

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

Arbetsbeskrivning

Företagsbeskrivning


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 on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviours are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech delivers technological solutions for the entire value chain for all our brands.




Jobbeskrivning


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




Kravspecifikation


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




Ytterligare information


What we can offer


At H&M we have a strong, value-driven culture characterized by believing in people, teamwork and an entrepreneurial spirit. Here you can be yourself and have room to grow. You’ll be part of an important project at H&M with significant opportunities to influence and make a difference. With the right mindset and ambition, you’ll find plenty of room to grow. We welcome your application regardless of gender, age, gender expressions, sexual orientation, disabilities, religious beliefs, origin or background


Psst! Do you know that there are several articles written about our AI- journey in global media, here is one https://www.essentialretail.com/features/hm-on-using-ai-to-become-data/
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 (English) as soon as possible. Due to GDPR, we do not accept applications via email.
FYI, during July, we will because of summer holidays have a pause in our recruitment processes and will take them up again when we are back in mid August.
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

Sammanfattning

  • Arbetsplats: H&M Group STOCKHOLM
  • 1 plats
  • Tillsvidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 30 juni 2021
  • Ansök senast: 30 juli 2021

Postadress

Liljeholmsstranden 5
STOCKHOLM, 11743

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