H & M Hennes & Mauritz Sverige ABStockholm

Senior Data Scientist

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.

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.

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.

  • 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 XXXX XXXX not attach a cover letter in your application.

Location Årstaängsvägen, Stockholm, Sweden

Skills

AIData ScienceGCPMachine LearningAgile