• Senior Engineer - Data Science, with Automotive domain having 6 - 10 years of experience will possess advanced proficiency in data modeling and data mining, demonstrating the ability to design and implement robust data architecture frameworks to support analytics and business intelligence initiatives.
• This role requires a deep understanding of machine learning algorithms and their practical applications in building predictive models and enhancing data-driven decision-making.
• Candidates should demonstrate expertise in big data technologies and frameworks, enabling them to analyze and process large data sets efficiently.
• Familiarity with generative AI tools is increasingly essential, as the candidate will leverage these tools to innovate and enhance model performance and data insights.
• A strong foundation in big data analysis is critical; the candidate should be able to extract meaningful patterns and insights from complex data ecosystems, translating them into actionable business strategies.
• Additionally, the candidate must have a solid understanding of data governance and data quality principles to ensure the integrity and reliability of data outputs.
• A Master of Science (M.Sc.) in Data Science or a Master of Technology (M.Tech) in Artificial Intelligence/Data Science is required for this role, with preferred certifications including Certified Data Scientist and Microsoft Certified: Azure Data Scientist Associate.
• Experience in agile and sprint management methodologies is good to have, along with a proven ability to collaborate with cross-functional teams to achieve project goals and drive continuous improvement.