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Company Description
The H&M Group is on a journey to meet and exceed our customers' expectations today and tomorrow. Through collaboration, innovation, and technology we challenge ourselves and the industry. We cater to the individual needs and desires of our millions of customers, our tech organisation delivers solutions for the entire value chain for all our brands. We are accelerating digitalization and to stay relevant, we need strong leaders to bring our best capabilities, innovation ideas and talented technologists to support the transformation of the H&M Group.
Are you a Senior Data Scientist who wants to work with one of the fashion industry's largest data sets and use cutting-edge technology to make a global impact? If the answer is yes, then this is the opportunity for you!
Job Description
Do what you are passionate about and drive change with us! A Senior Data Scientist job within the H&M group comes with responsibility and fun. You will collaborate with our business and engineering teams on creating value from data. The work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling, and machine learning. To succeed in this role, you need a strong foundation in analytics, mathematical modeling, computer science, and math, complemented by sound business sense. Importantly, you proactively gather information from various sources and analyze it for better understanding of how the business performs.
Furthermore, you will model and build AI tools that automate certain company processes, and implement those solutions to impact business results on a global scale.
As a Senior Data Scientist, you will also develop an understanding of business problems and formulate solutions, support your colleagues and business stakeholders in understanding algorithms and decisions made by AI systems, and combine, explore and draw insights from large and complex data assets. You'll also develop tools and frameworks for machine learning projects, and work in a cross-functional agile team to build the AI ecosystem within H&M.
Qualifications
Who you are:
We believe that you have a degree in applied mathematics, statistics, physics, engineering or a similar field (e.g., machine learning) and the will to continuously develop your skillset. You are hands-on and tackle problems head-on, thriving on solving practical business problems with data and machine learning models. You have 3+ years of experience in data science, analytics, or similar areas, and are able to implement algorithms and models to production using at least one programming language with support from our machine learning engineers.
You are also a strong team player and a true people's person, result-oriented, daring to challenge and take initiatives. Experience in working with production level machine learning systems, optimization problems and libraries, GCP, and time series data are appreciated.
Additional Information
Working with tech at H&M Group
The fashion and retail industries are transforming, driven by customers' technology and sustainability expectations. At H&M Group, we want to shape the future of fashion and lifestyle by harnessing the power of smart tech and data. Our history of innovation spans 74 years, and we understand the need to collaborate and co-create with engineers and tech specialists to achieve our vision.
What we offer!
Join our unique value-driven culture and a large tech network where you can be yourself. We offer a host of benefits such as a staff discount card, flexible work hours, learning communities, wellness benefits, parental benefits, etc. There are endless opportunities for personal growth in any direction you want. Being a major player offers us countless opportunities to make a real impact and shape the future.
We are committed to creating an inclusive and diverse workplace with a dynamic and innovative culture.
This full-time position is based in Stockholm. Please apply as soon as possible but no later than the 18th of October. We review and interview applicants on an ongoing basis. If you have questions, please contact our Talent Acquisition Partner, Shriti Shetty.
Please refrain from sending applications through email due to GDPR
