Data Scientist job opportunity at Continental.

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Date2025-05-23T10:48:28.976Z bot
Continental Data Scientist
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Electronic City Road, Bengaluru, Karnataka, India
loacation Electronic Cit..........India
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Job DescriptionYour tasksAs a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio.YouConsult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners.Collaborates with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact.Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions.Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities.Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results.Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis.Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling.Establish and maintain partnerships with internal and external partners.Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness.Ensure data quality and integrity through rigorous validation and testing procedures. 

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