Entry Level Data Scientist - Affirmative Opportunity for People with Disabilities
At a glance
- Location
- Curitiba, Brazil
- Category
- Data
Entry Level Data Scientist – Powertrain Technology at Volvo Group in Curitiba, Brazil. Affirmative opportunity for people with disabilities.
What they are looking for
Location: Curitiba, BR, 81260-900
Entry Level Data Scientist - Affirmative Opportunity for People with Disabilities
Location
Curitiba, BR, 81260-900
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Position Type
Professional
Permanent/Temporary
Permanent
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.
Our Commitment
At the Volvo Group, we believe that diverse perspectives, experiences, and talents drive innovation and strengthen our ability to create prosperity through transport solutions. We are committed to fostering an inclusive workplace built on equal opportunities for everyone.
This is an affirmative opportunity for people with disabilities, reinforcing our commitment to building increasingly diverse and inclusive teams.
Entry Level Data Scientist – Powertrain Technology
Do you want to join a dynamic, motivated team that develops solutions directly contributing to Volvo's mission of driving prosperity through transport and infrastructure solutions?
We are currently looking for a committed and qualified professional seeking a career opportunity as an Experienced Data Scientist – Powertrain Technology. Someone curious about data and passionate about the business!
You bring multidisciplinary skills at the intersection of mathematics, statistics, automotive engineering, computer science, communication, and business. You have practical knowledge of data, automotive technology, and programming, and you are motivated to continue developing these capabilities.
You will work together with a group of data engineers, scientists, analysts, simulation engineers and application engineers. Our main job is to transform Big Data transmitted through telematics by our products into knowledge to support the development of new products and services.
About Us
Powertrain Technology contributes to the Volvo Group’s competitive position in the marketplace by developing and maintaining profitable products and product components in terms of quality, delivery, cost, and features, while complying with all applicable regulatory requirements. Our scope of work includes the engineering and design of engines, gearboxes, axles, hybrid technology, and drivelines, based on common architecture and shared technology.
System Simulation, Data Analytics and Product Application Engineering is part of the Powertrain Technology organization in Curitiba and is responsible for simulation and data analytics. This covers function and control systems simulations, as well as the analysis of telematics data from our connected vehicles.
Digital transformation is a priority in our strategy, and within this context, the data analytics team plays an important role by accelerating the development of products and services. We collaborate with our colleagues in Gothenburg (Sweden), Lyon (France), Hagerstown (USA), and Bangalore (India).
Job Summary
As a Data Scientist in our team, your main purpose is to create value from data. You will develop statistical models, algorithms, and artificial intelligence through experimentation and discovery, helping analyze and solve real-world problems using connected data from our products in operation.
Our team supports the development of global products and services, so you will encounter and work with a wide range of projects and data sources. Within defined assignments, you will contribute analytics that improve speed and decision quality across powertrain areas, including medium- and heavy-duty diesel engines, transmissions, rear axles, and other components.
Since data without context is not meaningful it is important to have a curious mindset and willingness to learn more about the automotive industry.
Accountabilities & Responsibilities
Contribute to data-related activities in projects involving new powertrain products and services, maintenance tasks, and quality issues, taking ownership of assigned work items.
Simplify the understanding of complex data and present it in a structured and clear manner within the context of the automotive industry.
Collaborate with data scientists, data engineers, and application engineers to develop data tools and analytics solutions that support decision-making.
Transform, structure, model, visualize, and translate data into actionable insights for defined business and engineering problems.
Perform data mining and advanced analysis using statistical methods, machine learning, and AI models to uncover patterns, generate predictions, and support business outcomes.
Maintain clear communication with engineering teams and Volvo Group brands, reporting progress, findings, and limitations.
Identify and integrate relevant datasets with guidance when needed, working with engineering teams to develop data-driven solutions.
Contribute to global Communities of Practice, share knowledge, and learn new skills and capabilities required to complete assignments.
Education, Experience, Knowledge & Skills
You have a degree in Mechanical Engineering, Control Systems Engineering, Electronics Engineering, Information Technology or a related area.
Experience applying data science or advanced analytics to engineering, product development, quality, or related business problems.
Knowledge of the automotive industry and experience with vehicle-connected data are considered advantages.
Working programming knowledge of SQL and Python; knowledge of DAX and code-versioning tools such as Bitbucket or Git is desirable.
Experience preparing, analyzing, and modelling large real-world datasets.
Ability to plan and deliver assigned work in cross-functional, data-related activities within agile or waterfall environments, working independently on straightforward tasks and with guidance on more com