Seeking a Senior Data Science Engineer with 6-10 years of experience in the automotive sector. This role demands advanced proficiency in data modeling and mining, essential for designing robust data architecture frameworks that support analytics and business intelligence. A deep understanding of machine learning algorithms is crucial for building predictive models and enhancing data-driven decision-making.

Expertise in big data technologies is vital for efficient analysis and processing of large datasets. Familiarity with generative AI tools is increasingly important for innovating and improving model performance and data insights. The position requires a strong foundation in big data analysis to extract meaningful patterns and translate them into actionable business strategies.

A solid grasp of data governance and quality principles is necessary to ensure the integrity and reliability of data outputs. This role is ideal for seasoned professionals looking to drive innovation in a dynamic automotive environment.

- Design and implement robust data architecture frameworks for analytics and business intelligence. - Develop and deploy predictive models using machine learning algorithms. - Analyze and process large datasets efficiently using big data technologies. - Leverage generative AI tools to enhance model performance and generate novel insights. - Extract actionable business strategies from complex data ecosystems. - Ensure data integrity and reliability through adherence to data governance and quality principles. - Collaborate with cross-functional teams to achieve project goals and drive continuous improvement.

- Master of Science (M.Sc.) in Data Science or Master of Technology (M.Tech) in Artificial Intelligence/Data Science. - 6-10 years of experience in Data Science, preferably within the automotive domain. - Advanced proficiency in data modeling and data mining techniques. - Deep understanding of machine learning algorithms and their practical applications. - Expertise in big data technologies and frameworks. - Strong ability in big data analysis to extract meaningful patterns and insights. - Familiarity with generative AI tools is essential. - Solid understanding of data governance and data quality principles. - Experience with agile and sprint management methodologies is a plus. - Proven ability to collaborate effectively with cross-functional teams. - Preferred certifications: Certified Data Scientist, Microsoft Certified: Azure Data Scientist Associate.