Data Scientist A/B testing

Who are we?
Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.
Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent.
We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future.

About us - Analytics & AI 
Volvo Cars’ vision is to be the world’s most progressive and desired premium car brand. After decades at the forefront of automotive safety, we have quietly become one of the world’s most tech-intensive car brands. With Volvo Cars vision in focus, we now intensify the drive of the digital transformation by expanding our competences and capabilities within the areas of Analytics and Artificial Intelligence.

The Analytics & AI department drives transformation and implementation of Analytics & AI within Volvo Cars Research & Development. The department also handle competence growth and collaborations within Analytics & AI. Our team is cross-functional and work together with our different domains within R&D. It consists of Data Scientists, Machine Learning Engineers and Software Engineers developing product applications and services with direct or indirect connection to our cars.

What we can offer
Do you appreciate lots of data to play with and a wide range of application domains? Do you want to impact Volvo Cars Analytics & AI transformation? Then the role as Data Scientist A/B testing is the place for you to prosper. You will extract knowledge and insights from a wide range of data sources and develop new customer centric Analytics & AI based functions and services. 

We can offer you a dynamic work environment within a team of computer scientists, mathematicians, statisticians, and physicists, you will also have the opportunity to collaborate with universities and research institutes. You will have full support for continuous personal development at all levels with our own “Volvo Cars School of Data Science” program.

Your contribution
You will be responsible for turning data into insights using for example machine learning techniques. As part of your role, you will also give advice and help shape organizations and processes to set up and improve environments for A/B testing. You will advise on how to set up successful A/B tests, and how to interpret the results. You will be applying an agile mind-set and using the latest analytics tools and methods to understand, predict and bring our data to life. You will be involved all the way from the identified opportunity and translate the business problem into a quantitative problem, build and verify quantitative models out of data and integrate the model into a full solution or insight. You will also validate that the result solves the customer needs in an excellent way. 

What you bring
We see that you have a MSc/PhD in statistics, engineering, computer science, applied mathematics or another relevant field. You have a proven math background and a good understanding of appropriate statistical techniques. You need to have a theoretical and thorough understanding as well as practical experience of A/B testing. 

You are a great communicator, comfortable presenting your result and you possess strong visualization skills.

Knowledge and experience from machine learning, statistics, optimization and data mining tools, frameworks and algorithms, and experience from different problem domains and data types (including time-series) is considered meritorious, as well as experience from building and designing analytical solutions of different kind – from visual descriptive solutions to optimized decision support or automated decisions (prescriptive solutions). Experience from cloud platforms and numerical methods and scientific computing is also competence within below areas will also be considered beneficial.

How to learn more and apply
For questions about the position, please contact Hiring Manager Erik Hjerpe at erik.hjerpe@volvocars.com. For questions regarding the recruitment process, please contact Recruit-er Maria Kihlgren at maria.kihlgren@volvocars.com. We want your application at the latest October 18, 2022. Please note that due to GDPR applications and CVs via email will not be accepted. 

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