Data Scientist, Digital Ethics and Responsible AI

Who you are

We are looking for a Data Scientist based in Malmö to be part of building the explainable and interpretable artificial intelligence models, to glassbox predictive models, test them and deploy them at scale to make predictive models more robust, fair and human centric in fast changing digital world where algorithms are quickly becoming our new digital co-workers.

Our diverse and global team within Data & Analytics is growing even more and we would love to talk with you, if you recognize yourself in some of the following:

KNOWLEDGE

· Knowledge of Machine Learning and AI. In particular as it relates to Neural Networks and Gradient Boosting.

· Knowledge of machine learning development frameworks, in particular those developed for Python (Pytorch, Tensorflow, SHAP, etc.)

· Knowledge of optimization techniques and their pros and cons,

· Experience with visualization tools e.g., seaborn, matplotlib, etc. and utilizing them for presentations and story-telling.

· Experience with MLOps practices, model deployment, maintaining, monitoring and keeping models updated.

· Experience with DevOps and agile development practices, in which requirements and solutions evolve through the collaborative effort of self- organizing cross-functional teams

JOB -SPECIFIC CAPABILITIES

· Performs work with care, accuracy, and attention to detail and strives to meet quality standards

· Ability to face and tackle novel problems by investigating and exploring potential methods of solving them and then determining a path towards the solution.

· Ability to work with large amounts of raw data and confident in working with different programming languages

· High intellectual curiosity with ability to acquire new knowledge and skills and the ability to keep up to date with the latest research and development.

· Champion of new concepts, methods, digital systems and processes to improve performance and capability

· Review user-story prioritisation as appropriate based on new ideas, approaches, and strategies

· Collaborates with others (incl. virtual) to achieve goals

MOTIVATION

· Deeply motivated to continuously develop and enhance programming skills and knowledge of machine learning and AI applications

· Energized by working both independently and interdependently with the architecture network and cross functions

· Appreciate the mix of strategic thinking and turning architecture trends into practice

· Passionate about the possibilities of artificial intelligence and its value for business

KEY PREVIOUS EXPERIENCES AND PROVEN SKILLS

· Phd or M.Sc. in (computer) engineering, computer science, econometrics, mathematics or equivalent

· Professional experience as a data scientist. Bonus if it was domains requiring explainability, such as medicine, banking or insurance.

· Knowledge in large datasets and distributed computing architectures

· Knowledge in coding in Python and development of artificial intelligence applications

· Experience in statistical analysis and statistical software

· Experience in data processing and analysis

· Preferred: Experience in software engineering

· Preferred: Knowledge of IKEA Brand, culture, values and way of working

This is our wish list! If you don’t recognize yourself in all these points, you might still be an excellent candidate for the role. We like to think long-term and invest in people’s development together with us.

What you'll be doing day to day

· Be part of the exploration, examining and deploying meta Algorithms for extracting why algorithm works. Where they do not work and what can make the algorithms change their behaviour, with objective of making algorithms more transparent, robust and rational, in line with Digital ethics policy.

· Drive modeling decisions by comparing explainability in inference pipelines through extensive knowledge of the credit assignment in multi modal models including text, vision and clickstream data

· Be part of the development and deployment of different tools to extract explainability, interpretability, auditability and steerability from simple to complex models

· Be part of the development and deployment of active learning strategies by explaining which input data points contribute more to prediction accuracy

· Be part of the development of algorithms to generate rule based synthetic data to benchmark predictive models’ predictions prior to deployment

· Be part of the metrics to calculate data drift at inference time with established correlation with performance

· Work closely together with other data scientists and cross functions (PEDX) to produce all required design specifications and ensure that algorithmic solutions work together to mitigate risks related to algorithm behavior

Our team within IKEA

We set the digital ethics policy and group rule at IKEA leading in an uncertain and fast moving environment. We drive the development, provision and operation of Algorithms to ensure robustness, fairness and human centricity in customer and co-worker facing digital products to drive operational excellence and mitigate reputational , business and legal risk.

At the same time, we provide a home for digital skills to both develop and extend the technical, people and business skills needed to ensure continuous development and growth of our digital capability.

WHAT WE CAN OFFER YOU

· Work on some exciting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data & Analytics colleagues in other specialist teams

· Opportunities to have global impact with your work

· Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open-source tools across the board

· A team of great colleagues to learn with and from (with world-class experience across all aspects of Data & Analytics) from various locations

· Continuous learning (we aim to spend 20% of our working time on learning)

· Flexible and friendly working environment in a truly value-based company

Does this sound like your next challenge? IKEA offers an exciting and empowering work environment in a global workplace. And as the world’s leader at life at home, you have exceptional opportunities to grow and develop together with us.