Senior Data Scientist within Analytics & AI eART

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 eART 
Our 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 competencies and capabilities within the areas of Analytics and Artificial Intelligence.

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

What we 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 Senior Data Scientist is the place for you to prosper. We offer you a dynamic work environment within a team of computer scientists, mathematicians, statisticians, and physicists. You will 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
Based on a well-defined analytical challenge, you will deliver valuable results and insights based on the data supplied to you by our team of Data Engineering specialist team.  

You will be responsible for turning data into insights using for example modern analytics and machine learning techniques, designing and building AI solutions to automate analysis processes. You will be applying an agile mindset to achieve high-performing results. and using the latest analytics tools & methods to understand, predict and bring our data to life using modern visualization techniques. Furthermore, you will be bringing our data to life by applying the latest analytics tools and methods. This includes exploring the data, modeling, and visualizing with modern techniques. You will be translating the business problems into quantitative problems, building and verifying quantitative models based on provided data, and integrating the mode ls into a full solution or insight. You will also validate that the result solution/insight meets the customer requirements in an excellent way. 

What you bring
We see that you have a M Sc/PhD in statistics, engineering, computer science, applied mathematics or other relevant fields, in addition, you will need at least five years of ’ experience within the industry. You have a proven strong mathematical background and a good understanding of appropriate statistical techniques. You will also need advanced programming skills, preferably in at least two of the following languages Python, R, Julia, Scala or Matlab.

You are a great communicator, comfortable presenting your result s and you possess strong visualization skills.
In addition, competence within the areas listed below areas will be considered beneficial.

•    Machine learning, statistics, optimization and data mining tools, frameworks and algorithms
•    Experience from different problem domains and data types (including time-series, images  ) 
•    Building and designing analytical solutions of different kinds – from visual descriptive solutions to optimized decision support or automated decisions (prescriptive solutions).
•    Experience in working on cloud platforms
•    Numerical methods and scientific computing
•    Linux/unix environments and Github