Data Scientist
Full Time
Stockholm, Sweden

ELECTROLUX Group IT Data Science presents

Join Electrolux IT Data Science Team where we’re transforming the world of work to change lives around the world.

For us going to work everyday has an even greater purpose than putting the latest product or technology on the market. It’s about improving the everyday lives of millions. By staying humble and open for new ideas – we can push the boundaries for cooking, cleaning and wellbeing at home. But to keep doing so, we need more people who want to innovate and re-imagine what life at home can be.

Data Scientist – Stockholm HQ

As an enterprise producing millions of appliances each year and counting more than 50.000 employees, Electrolux is already generating massive amounts of data in hundreds of systems across the globe from sales to sensors in factory robots or smart home appliances. And with an explosion of IoT devices just around the corner, these data volumes are expected to grow in the near future by an order of magnitude or more.

By using state-of-the-art data science platforms and methodology our team supports business functions across the entire company and helps them turning raw data into valuable insights and actions.


You will
• Apply scientific knowledge and engineering skills to analyze large volumes of complex data.
• Apply statistics and machine learning to a variety of business & product areas to deliver advanced analyses and predictive models
• Communicate findings and recommendations that inform business directions and strategy
• Partner closely with business sectors to understand their specific requirements and explore new potential use cases which benefit from machine learning and the use of big data.
• Drive innovation in analytics and predictive modeling

• Passionate storyteller – You are eager to communicate results using presentation, visualization and dashboarding tools. You look at everything from every angle, distilling the core message and putting it together in a way that excites and delights.
• Entrepreneurial. You are able to advice, structure and make decisions according to our business needs.
• Communicative. You have a flexible approach and can deal with intercultural teams and diverse locations.
• Analytical. Your solutions are pragmatic, give immediate value and anticipate future needs.
• Proactive. You are self-driven, results-oriented with a positive outlook. You’re not just solving the tasks, you always think ahead and identifying operational issues and drive resolution
• Solution oriented. You are strong customer focused and have ability to develop and sustain a network with cross-functional teams. 

• Extensive experience with scientific data analysis, machine learning and statistical analyses
• Passion for identifying and solving real consumer and business problems
• Experience with programming environments such as Python/Pandas, R, Apache Spark and Hadoop.
PhD or M.Sc. in a relevant field
• Experience from both startup (Lean/Agile) and enterprise (more waterfall-like) environments
• Experience in several areas of natural language processing
• Experience from working with large datasets
• Hands-on experience with cloud services such as Azure or AWS
• Excellent English knowledge, written and spoken.

Contact person: Chiara Salin