Continental
tire manufacturer
(Senior)DataScientist
“(Senior) Data Scientist at Continental. Skills: Data Science, Machine Learning, Python, Cloud, Big Data. Lead technical development projects, including scope definition, concept design, and proof-of-concept, and report progress. Design and develop data science models to solve complex customer problems and conduct proof-of-concepts for feasibility”
What You'll Achieve.
deliver measurable impact; production-ready solutions that power smarter, safer, and more efficient mobility worldwide
Industry & Context.
solve complex business challenges; transforming data into intelligent, scalable solutions; turn raw data into actionable insights
What They're Looking For.
Must Have
Academic degree in Computer Science, IT, Engineering, Mathematics, or related, > 4 years of experience as a Data Scientist, programming skills in Python, Expertise in machine learning and AI (supervised, unsupervised, deep learning, time-series), Proficiency in cloud and big data, Advanced skills in exploratory data analysis, Fluent English language skills (written and spoken)
Nice to Have
Hands-on experience with data engineering tools (e.g., Airflow), Solid understanding of MLOps and model deployment, Experience with Agile project management methods (Scrum, Kanban)
What You'll Do.
Lead technical development projects
including scope definition
Design and develop data science models to solve complex customer problems and conduct proof-of-concepts for feasibility
Build and deploy validated models into production-ready solutions
Engage with business stakeholders to understand requirements
and translate technical topics into clear
Collaborate with MLOps Engineer and Data Engineers to realize data-driven
Mentor junior Data Scientists
and organize knowledge-sharing sessions to foster best practices
How You'll Work.
Team & Collaboration
Working closely with Data Engineers, MLOps Engineers, and cross-functional teams; Collaborate with MLOps Engineer and Data Engineers to realize data-driven; Mentor junior Data Scientists, review work, and organize knowledge-sharing sessions
Communication Scope
Fluent English language skills (written and spoken); translate technical topics into clear, non-technical
Process & Methodology
Agile project management methods (Scrum, Kanban)
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