Data Science Manager

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

The world is changing and the IKEA business is changing with it. For IKEA though, one thing will always remain the same ? our vision to create a better everyday life for the many people.

We will strengthen and develop competences in order to meet the needs and dreams of the many people around the world and to be accessible, wherever and whenever they wish to meet IKEA.

About Inter IKEA Systems and Core Business Franchise

• Inter IKEA Systems B.V. is the franchisor and the owner of the IKEA Concept, including the IKEA trademarks.
• In Core Business Franchise we are responsible for the IKEA strategic framework and keeping it together through an IKEA Concept which is updated, relevant, implemented and followed-up together with all IKEA trademark users.

About IKEA Planning Experience (IPEX)

The goal of IPEX - IKEA Planning experience is to support and empower customers to find their personal best home furnishing solutions. We run and develop digital solutions used by customers and co-workers enabling them to design homes and home furnishing solutions for the entire IKEA range for all IKEA retailers. Part of our portfolio are planning solutions for Kitchens, Bathrooms, Storage solutions, Beds... Our next big step ahead will be to enable customers to design their full homes.

Our customers should experience an inspiring, fun, simple and rewarding planning journey based on their needs and preferences. Our co-workers and service partners should experience a fun, efficient and unbroken sales process.

The solutions and capabilities we develop are an integral part of the entire seamless buying and selling experience and a key contributor to converting visitors into happy customers and to engaging with our customers from the start. Utilising data around and about our products to create more personalised experiences is an integral part of the work we do.

IPEX deliver solutions to all IKEA retailers spanning over 50 markets worldwide and over 400 stores and IKEAs digital channels. All solutions are made to help customers and co-workers in all customer meetings, from a mobile phone to the largest IKEA store in the world.

Being the Data Science Chapter Manager in IPEX

• As the Data Science Manager within IPEX, you will be part of a great team creating digital solutions that enable customers to design any space in their homes or businesses and configure home furnishing solutions.
• You will lead and continuously refine the IPEX approach to data (how we gather, structure and use it in the best way to create great and personalized planning experiences) as a key element of the IPEX strategy and roadmap, contributing to a data-driven culture.
• You will also lead and contribute to the overall development of the right capabilities, principles, standards and frameworks related to your area.
• In your role you will develop the team that will report to you through inspiring, coaching and supporting competence development. You will set the pre-requisites for the team to stay skilled, motivated and empowered, to enable our specialists to contribute towards creating great planning experiences utilising data together with their respective Product teams.
• You will interact and collaborate with stakeholders across IKEA, franchisees and customers, to understand needs and synergies and drive that we create seamless experiences and contribute to optimising ways of working within IPEX and beyond is always on your mind.

To be successful in this role

• You are passionate and curious about life at home and creating seamless and convenient experiences.
• You are a strong and experienced leader with the ability to lead, coach and develop the IPEX data science chapter team. You have the ability to take a holistic, strategic approach, but can also deep dive into details and be hands on when needed.
• You bring solid experience and knowledge of working with complex data analytics challenges and have a proven track record of successful solutions that you were part of creating.
• You bring a comprehensive understanding of statistical and machine learning techniques and are able to understand various data structures and common methods in data transformation and turn them into tangible solutions (such as recommendation engines).
• You have experience with languages, technologies, and frameworks (e.g., Python, R, Julia, Stan, Tensorflow, Keras, Jupyter, Databricks, Azure ML, ADLS) and cloud environments (e.g. Azure, AWS, Google) is also a plus.
• You bring solid experience and knowledge from working with software development and are familiar with agile/ devops practices.
• You are able to build strong relations and trust with your peers and stakeholders and are comfortable with complex prioritisation and situations where priorities need to be discussed and agreed upon with strong and vocal stakeholders, to leverage your resources in the best way to achieve the strongest outcome.
• You make mistakes sometimes that keep you evolving and learning as you are not afraid to find new ways to solve a challenging task together with your colleagues.
• You enjoy an agile and iterative, yet structured way of working and achieving results together with a team in a flexible environment, but also have a strong individual drive to deliver high quality results on time. You have great communication and networking skills and are fluent in written and spoken English.
• Travelling based on business needs might be necessary.

More Information

• This is a full-time role (40 hours per week) located in Malmo, Sweden.