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.

The best ideas evolve when great minds with different perspectives get together. We’re all on the same team in a global environment and we learn from each other. There are endless opportunities to grow – your development is all up to you!

We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. H&M Group – Business Tech.

Product area: Supply Planning

Description: We plan our capacity and optimize allocation with a high degree of automation, integration and transparency in our collaborative network

Product team name: Production.AI

Description: Production.AI as an enabler team creates value from data by providing H&M Group with capabilities to lower our sourcing costs and optimize our production flows.

Production.AI provides solution to different tools, applications and systems within H&M, starting in 2019 with Fact Based Costing, with the first use case called Comparable Product Recommendation engine, where we provide the best match, given the data available, that matches historically with what the user is currently negotiating prices on.

The purpose of Production.AI is to provide three different parts of One end-2-end AI eco-system:

• A Data Platform, with the information needed to build algorithms that support our teams
• Algorithms that generate matches and/or recommendations for our processes and solutions to use
• APIs that make recommendations available for other solutions to use

Role: 

Within Production AI we develop and improve AI methods as well as explore how machine learning can be applied to support decision making in the organization. Our focus is to bring business value and support the direction and next steps for our product teams.

The job of a Data Scientist within the H&M group comes with a lot of responsibility – and lots of fun. Your responsibilities, will include, but are not limited to:

• You will work in collaboration with business stakeholders, analysts and engineers, both within your team and supporting other teams, on creating value from data.
   
• You will be involved in all stages, from data exploration and building proof of concept to operationalization and handover to other teams.
   
• You will proactively fetch information from various sources, create data sets and do analysis to better understand current business performance and processes.
   
• You come up with suggestions on how business processes can be improved with the help of data modeling and what methods can be tested and applied.
   
• You will design, build, test and iterate proof of concepts, with clear focus on business value and with the desired end product in mind.
   
• You will take part in researching and developing state-of-the-art methods which can make a big impact on the business.
   
• Develop understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development
   
• Design and build explorative, predictive- or prescriptive models, utilizing optimization, simulation and machine learning techniques

We believe that you are communicative, strategic and have a determination to never give up. You are a team player, self-sufficient enough to take initiative and have a positive attitude. Apart from that we see that you:

• Have a strong foundation in analytics, mathematical modeling, computer science and mathematics - coupled with an interest in business. You have the ability to understand business pain points and suggest how machine-learning empowered analytical tools can help to solve them.
   
• Have 3 - 5 years working experience in data science where you acquired broad knowledge of different data science techniques and you have working knowledge of Python.
   
• Our journey will lead to something new and exciting - we will test, fail and learn. Therefore, we believe you are flexible problem-solver and able to work in an environment that is not yet formalized. 
   
• Strong abilities in all or several parts of the advanced analytics development process: from exploring the potential of a raw data set, to building models, to scaling and stabilizing these models etc.

In addition we appreciate:

• Experience in operationalizing machine learning models
• Familiarity with best practice software development techniques

Familiar with agile development methodologies:

Able to handle detailed analysis, work independently and in a structured way

Technical skills

General technical skills which commonly needed in most use cases.

Relevant:

• Experience with common data science toolkits, such as Python, Pandas, Spark, R, NumPy, Pytorch, TensorFlow, Scikit-Learn etc.
• Experiences in BI Analytics Tools, e.g. PowerBI / Tableau
• Proficiency in using query languages such as SQL, Hive, Pig
• Hands-on experience of building statistical models like regression, decision tree, random forests and other AI/ML models
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Good to have:

• Hands on experience on Azure / Google / AWS Machine Learning Tools
• Experience with NoSQL databases, such as MongoDB, HBase, CosmoDB, DynamoDB etc.