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Inter IKEA Group brings together three core businesses: Franchise, Range and Supply. Together we work constantly to improve the IKEA home furnishing offer and make it more accessible for the many people. You will be part of IKEA Supply and the Supply Chain Development organisation. IKEA Supply is responsible for securing that the product offer is produced and delivered to our customers. We lead the supply agenda across many functions and work together with all business areas, different business units, but also retail markets to secure customer availability in all markets and sales channels at lowest total cost.

Together, we create a workplace where everyone feels free to be themselves – to experiment, try new ways, and dare to ask, “What if…?” We believe in everyday personal growth and offer the opportunity to develop your career globally. At IKEA we have a vibrant culture where ideas are heard, where there is opportunity to learn new skills and where the goal always is "to create a better everyday life for the many people". We give down-to-earth, straightforward people the possibility to grow, both as individuals and in their professional roles. We offer this position in a fast paced, truly global environment with an endless supply of challenges and development opportunities.

About the job

As a Data Scientist, you will support the organisation in leveraging data. This you will do in many different ways; by supporting business stakeholders in understanding the potential of and what is needed to unlock the power of data science, by being engaged in the community of data scientists across the organisation, creating and disseminating best practices, frameworks and accelerators across the organisation. You will collaborate closely with the Data & Analytics and Information Management (IM) teams as well as with other practitioners across the larger IKEA organisation.

We work in a modern cloud based Azure environment and you will be a part of the community continuously developing our data science and machine learning capabilities. You take your colleagues by the hand and you constructively advise what is needed to enable efficient use of data to reach the organisation's goals. You are regularly involved in activities and meetings with stakeholders to determine large and small data opportunities and support teams regarding data and analytics.

More specifically, in this role you will be accountable to:

  • Creating new insights within Supply by having data models and algorithms in place to enable prediction, optimization, and simulation.
  • Aggregate and structure raw data into models, applying learning algorithms, interpret the results and deploy data products.
  • Perform all stages of advanced analytics, from exploring and blending data, to structure predictive data models and to draw insights and deployment
  • Drive continuous improvement, collaboration and knowledge sharing of methodologies, tools and materials across the Inter IKEA Data Science community.
  • Ensure consistency by supporting the use of relevant development techniques, digital frameworks, and best practices.
  • Collaborate and communicate with other parts of the organisation to understand needs of stakeholders and devise possible solutions.

In this role you will report to our Data & Analytics manager at IKEA Supply and work closely with the Data Science network of expertise to lead towards uniformity and commonality, contributing to the Inter IKEA Digital framework and delivering on the needs of IKEA Supply.

About you

We are on the journey to transform our digital capabilities, bringing core business processes, people, data & technology together - an enabler for IKEA to become an even better home furnishing company in the future. A journey that needs passionate people who embrace change, dare to question and want to make a difference. If that sounds like you, come and join us. Together we can do great things.

We’re doing some amazing things in IKEA Supply chain; therefore we need some amazing people – this position is not an exception.

To be successful in this role, you have experience in building data models with an excellent proven track record. We believe you are able to inspire and mobilize people towards clearly set objectives. You are curious and able to build relationships in order to establish strong trust between the Supply Data & Technology community and its stakeholders. You should also be able to make advanced technical solutions understood and embraced by both technical and non-technical co-workers. Leadership and business development experience from complex organisations is to your advantage.

We expect you to have a very good knowledge of IT and digital organizations, strategies and working methods, in particular project and program management with the relevant experience and track record. You have knowledge in modern development techniques such as Agile / DevOps and comprehensive understanding of statistical and machine learning techniques as well as data management and visualisation techniques. You have proficiency with an appropriate set of 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). Most likely you have a master's degree or similar/higher qualifications in statistics, physics, mathematics, econometrics, computer science or related.

You are a big fan of home furnishing and enjoy building a purposeful business by creating engaging and trustful relationships with colleagues, stakeholders and business partners. As a person you are appreciated for collaborative spirit and how you lead with strong focus on both technology and people. You create impact and inspiration regardless of function or formal reporting lines.

Additional information

Questions & Support? Let’s connect.

This position is located in Älmhult. Please apply no later than the 24th of September.

Detta är en jobbannons med titeln "Data Scientist" hos företaget IKEA of Sweden AB och publicerades på webbjobb.io den 14 september 2021 klockan 10:57.

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