Competence Lead Data Science

Competence Lead Data Science

Arbetsbeskrivning

Company Description


Join our journey of creating world-class AI solutions where we put our customers' needs first. People, data and technology are key to our success! We are now looking for a Competence Lead within Data Science to our new organization Business Tech


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.


Job Description


Business Tech is a new modern agile product organization within the larger H&M group. We are a team of small and cross-competent teams each owning a product end-to-end with a mission to meet and exceed our customers’ expectations. You will be able to try out your creative and innovative ideas – and have an indecisive impact on how we shape the future of fashion and design.

In the AI, Analytics & Data domain you will be part of our AI Foundation Product Area where our vision is to make H&M Group the industry leader in applied AI with scalable and integrated solutions covering the entire value chain.

We are on a journey together which means there is no clear path. Therefore, you will play an important role in setting the foundation and creating our future solution for supply planning to our sales channels. We believe you are dynamic, collaborative, and curious!

The role has a dual focus – staff responsibility and delivery. As a Competence Lead you will have staff responsibility over employees within the same/adjacent competence as your own. Your staff responsibility goes across different Product Teams and tasks include development conversations, salary review and other staff related activities. You will work in an agile team, with the responsibility for creating and designing solutions which fulfils our customers’ shopping experience. As a Data Scientist you will also:

Work with professional Data Science best practices for the full AI development life cycle.
Translate product strategy and requirement into suitable, maintainable and scalable solution design.


Collaborate closely with product owner and other cross-functional teams, share best practice as well as discuss and motivate design solutions.


Qualifications


As a Competence Lead within Data Science at H&M Group you will embark on a journey that will lead to something new and exciting - we will test, fail and learn. For the Competence Lead assignment, we are looking for someone who has demonstrated potential for the leadership we aspire for within Business Tech. Previous experience from leadership and staff responsibility is of merit, but not required.
You are an important player in this transformation, and so we believe you are communicative, flexible, stress-resistant and able to work in an environment that is not yet formalized. You have previous experience from working in large companies with many stakeholders, you have worked with distributed teams, with integration platforms and you know how to translate business requirements and visualize technical roadmaps. We also believe that you have:
• Passion for helping the people you lead to grow within their roles

• Ability to manage complexity when there are no given answers

• Experience from stepping forward and assuming an informal leadership role when needed

• Proven experience from being an active player in challenging situations, whilst living our values and keeping focus on delivery
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


Additional 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

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

Sammanfattning

  • Arbetsplats: IT-Avdelning Stockholm
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 5 april 2022
  • Ansök senast: 5 maj 2022

Postadress

Årstaängsvägen 13
Stockholm, 10638

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