Stockholm, Stockholms län, Sweden
20 days ago
Senior Data Scientist

Job Description

​WHAT YOU’LL DO​ 
Do what you love and help us drive change! As a Senior Data Scientist at H&M Group, you’ll turn vast amounts of data into meaningful insights and solutions that make an impact on a global scale. You’ll collaborate closely with business and tech teams to solve complex problems using advanced analytics, modelling, and machine learning.​ 

Contribute to and potentially lead the short- and long-term data science agenda within a product team 

Collaborate with machine learning and data engineers to design, build, and deploy machine learning products that scale globally 

Help colleagues and stakeholders understand algorithms and decisions made by AI systems 

Explore large, complex data assets to uncover insights that drive business value 

Develop tools and frameworks for common machine learning needs like model traceability, feature reuse, and A/B testing 

WHO YOU’LL WORK WITH​ 

You’ll join a collaborative, cross-functional team of highly skilled engineers, data scientists, and business stakeholders. Together, you’ll build innovative AI solutions that support H&M Group’s transformation and create value for millions of customers worldwide. 

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WHO YOU ARE​ 

We are looking for people with…​ 

​ A degree in applied mathematics, statistics, physics, engineering, or a similar field (e.g., machine learning) and a strong desire to keep learning 

Solid foundational knowledge of machine learning and statistics 

Ability to independently implement algorithms and models, contributing to production-level code 

Background in agile environments with strong team collaboration and data-driven development 

Experience working with time series data is beneficial 

Proven ability to work with production-level machine learning systems and solid understanding of optimization problems, including related libraries or solvers 

And people who are…​ 

Comfortable working with cloud platforms, like Google Cloud 

Hands-on and eager to understand business needs and turn them into technical solutions 

Always looking for ways to automate and simplify, taking initiative to improve products 

Strong team players who are result-oriented and driven to challenge and innovate 

 

WHO WE ARE​ 

H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​ 

We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. ​ 

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WHY YOU’LL LOVE WORKING HERE ​ 
At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. ​ 

We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here.   

​30 days holiday 

We offer a collective agreement which includes pension and life insurance   

H&M Incentive Program   

Wellness benefit 4000kr/year 

Beniflex Benefits Portal   

Community with activities  

 

JOIN US​ 

Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.​ 

Take the next step in your career together with us. The journey starts here.​ 

*We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.​ 

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