Data Scientist within Electromobility

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.

Where You’ll Belong
The Vehicle Propulsion Data Analytics team analyzes data with a focus on battery, charging and electric drive to gain insight into how our products work and ensures the customer experience gets better every day. Do you like to improve the quality of our cars by bringing better and faster feedback to developers and product designers? Then the role as Software Developer in our Data Analytics team is the place for you to prosper.

We are a tight-knit group with a friendly and enthusiastic team spirit. We have many clear, concrete, and inspirational opportunities within our team and organization to apply your data science skills. We strongly believe that personal/professional development is an important factor in delivering high-quality results, and we engage in multiple various activities within and outside of work to support this. You might have a book tip to share in our book club.

What You’ll Do
You will play a key role in empowering data-driven product development at Volvo Cars by guiding the organization to becoming a more mature and comprehensive data-driven business. 

You will provide statistical analysis of data to help stakeholders gain better insight into product behavior, you will use machine learning and statistics to make predictive models for vehicle systems and visualization techniques to present complex results in a clear and understandable way.

You will also get to develop your own clean code in languages like Python or R as well as review your colleagues’ code and provide feedback. You will hold and take part in workshops to share useful skills and experiences in the team. Last but not least you will automate continuous feedback on software quality.

Who are You?
We love what we do, and we think it’s important that you do as well. You are eager to learn and develop your knowledge and skillset as well as to support others with their personal and professional growth. You are also open to listening to ideas from others, even when they may be less experienced in a given area – ambitious while remaining humble!

Key Competencies
•    Apply statistical methods to analyze and solve problems
•    Proven skills in machine learning and statistical modeling
•    Knowledge of visualization tools, e.g. matplotlib, seaborn, ggplot2, plotly
•    Ability to write well-structured, tested, and readable code in Python that complies with PEP 8 and other best practices
•    Basic scientific computing libraries such as numpy, scipy, pandas, scikit-learn, statsmodels
•    Basic proficiency with git
•    Comfortable developing software with Linux systems

Meritorious
•    Experience within the automotive and diagnostics domain
•    Business intelligence tools, e.g. Dash, Streamlit, PowerBI, Azure App Service
•    SQL and NOSQL database technologies.
•    Cloud technologies such as Azure and AWS
•    Distributed computing technologies such as Spark, Dask, Hadoop, Jax
•    Computing platforms such as Databricks, Jupyter, Sympathy/CDE, Orange
•    Virtualization/containerization technologies such as Docker, chroot, KVM, venv
•    Linux server administration

How to Learn More and Apply
Please submit your application via our career site as soon as possible, but no later than the 20th of September. Please note that due to GDPR we do not accept any applications per e-mail.

If you have any questions about the position please contact Hiring Manager Magnus Hedene via email [email protected] , for questions regarding the recruitment process, please reach out to recruiter [email protected] .