Data Scientist null

Transform Data into Useful Knowledge and Wisdom!!!

At Volvo Group Trucks Technology Powertrain Engineering, we have started to lay a big emphasis on how Data should Drive our Future Development. We are currently looking for a Data Scientist who can help us to accelerate our Journey.
Do you want to be part of a team where you get the chance to contribute to a better environment and sustainable future? Good, we are ready for you!

What do we do?

We are the Simulation and Analytics Team in Powertrain Engineering within Volvo Group Trucks Technology, a dynamic team working towards enabling the Technology organization in evaluating futuristic products and services for Volvo business units such as trucks, buses, construction equipment, and Marine
The main tasks of our team are to meet our customer’s expectations on quality, and fuel consumption and to comply with emission legislation. This is done by selecting Engine HW components and calibrating engine-related functions. Upcoming emission legislation requires the development of advanced control strategies together with optimized hardware and software. You will be an important contributor to this development.
The powertrain is the heart of the Truck and is one of the focus areas within Volvo Group, which is at the forefront of sustainable transport solutions for tomorrow.

We are on a mission to unleash the unimaginable power of Data…

Sound interesting? We want you to join us!

What will you do?

You will work in agile teams through good collaboration with our colleagues in software development and design teams all around the world.
You along with the team will be responsible for understanding customer usage and performance of our products and for providing our solutions throughout the entire product life cycle, from idea investigation and concept evaluation to industrialization and aftermarket and maintenance. You will make meaningful interpretations, recommendations, and eventually predictions from the data available from various sources to support our endeavor in moving towards Data-Driven Powertrain Development
You get the opportunity to follow your Data-Driven Models from script to test cell to verification in a truck and eventually to being used by our end customers.

We have an agile way of working, where each team plans their activities in sprints and delivers solutions together as a team. We strive to have an open and honest environment within the teams, where it is easy to ask each other for support when needed. The tasks can be either part of a larger project or short tasks to improve products currently in production.
You will get the opportunity to interact with highly committed colleagues from different cultures. We hope you will learn as much from us as we will from you.

Who are you?

We believe that to be successful in this position, you are a team player, have strong experience in the data engineering and analysis area, and have a will to deliver. You have a knowledge of control systems and feedback systems (closed-loop) in general with exposure to the numerical and data-driven simulation of a system. You must have a proven experience in Data modeling – Regression, Clustering, Neural Networks, Time series, etc., and should have used them in solving real-life challenges (prediction, automation, real-time optimization, etc).

You have a willingness to learn and take more responsibility with a can-do attitude.
You will be greatly appreciated in this role if you have demonstrated Predictive analysis and decision-making using Data.

If you are a Master’s Degree holder in Mechanical/Automobile/Electronics/Mechatronics Engineering with fantastic analytical skills, have gained a strong domain understanding in Powertrain Engineering with proven skills in handling and analyzing a large set of data to make meaningful interpretations and if you believe that you can work smoothly with tools like Python (including libraries like Numpy, SciPy, Pandas, Tensorflow), R, SQL, Git, Azure, Hadoop, and Matlab/Simulink, park, C/C++/ Scala then you can be a good fit into this role.

Experience in working with relational databases, data privacy, and understanding of IOT-based instrumentation design with additional data logging to build or validate models is a big plus.

A passion for turning data into knowledge with great visualizations using Power BI, QlikView, and Tableau and an experience of working with plant/ component models, and integration of these models into SIL/MIL/HIL evaluations would be the icing on the cake.