Senior Data Scientist
Há 2 dias
Descrição da vaga:
The Volvo Group is one of the world's leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The Group also provides complete solutions for financing and service. The Volvo Group, with its headquarters in Gothenburg, employs about 100,000 people, has production facilities in 18 countries and sells its products in more than 190 markets.
What you will do
Are you passionate about driving innovation through data science while making a measurable difference insustainability? At Volvo Group Digital & IT (VG D&IT), we're at the forefront of leveraging data to createmeaningful impact in industries worldwide. We're seeking talented individuals to join our diverse and dynamicteam, where you'll collaborate with experts across various disciplines to deliver end-to-end data solutions andAI products for users across the globe.
Role Description:
The Data Scientist Chapter is located in Sweden (Gothenburg and Eskilstuna), and France (Lyon). The DataScientist position will be located in Curitiba, Brazil.
About the Data Function:
Our 'Data' function is a vibrant, international community with 900+ members across seven countries. Wecollaborate closely with various divisions, business areas, and group functions within the Volvo Group to fosteran environment where ideas flourish, and goals are achieved collaboratively.
As a "Data Scientist" with us, you will:
Deliver customer value: Work with global stakeholders to frame problems, define success metrics, and shipsolutions.
Own the lifecycle: Design, build, deploy, and operate ML/AI products (CI/CD, monitoring,model/feature/version management).
Continuous maintenance/supervision: You will have to keep an eye on the model drift and together with thebusiness decide when tweaks are needed to improve current pipelines.
Text analytics & LLMs: Apply NLP/LLMs for classification.
Standards & compliance: Design with security, governance, and regulatory constraints in mind.
Lead: Lead the team and the Analytics portion of it. Plan tasks, discuss them, help other colleagues withtheir work.
Requerimentos:
Meriting Competencies:
Applied DS/ML/AI: Statistics, ML, experimental design, and production patterns (features, drift, evaluation).
Platforms & tooling: Azure, Databricks, Python, SQL, Git; strong MLOps with Azure Pipelines + DatabricksJobs.
Architecture: Cloud data/compute basics, model packaging, dependency management, observability(logs/metrics/traces).
Software practices: Code reviews, tests, reproducibility, infra-as-code, documentation. High quality code isone of our main pillars in the chapter.
Communication: Explain complex results to non-experts; fluent English (additional local language a plus).You will need to talk with specialists from US & Canada, hence the English should be at a very good levelso that you can translate business requirements in "what to do next".
Nice to have:
LLM depth: Retrieval, prompt engineering, evaluation frameworks, safety/guardrails, cost/performancetuning.
Regulated environments: Industrialization/commercialization of ML/AI under governance and audit.
Domain experience: Vehicle data (diagnostics, fault codes, telematics), quality/warranty analytics.
Leadership: Owning ML products end-to-end; mentoring; leading practitioner communities.
Academics: Advanced degree or equivalent impact.
Experience: Strong experience applied DS (manufacturing/automotive/transport preferred).
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