• Staff Engineer - Data Science, with Automotive domain having 9 - 13 years of professional experience, will possess a robust understanding of applying data-driven solutions within industry contexts relevant to Ford. • Advanced proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn, is essential for data manipulation and machine learning model development. • Expertise in SQL is critical for managing and querying large datasets, ensuring data integrity, and optimizing database interactions. • Substantial experience in data analysis methodologies enables the extraction of meaningful insights and supports data-informed decisions. • A solid foundation in Natural Language Processing (NLP) is vital for analyzing and interpreting human language data to enhance user experience. • Proficiency in Machine Learning (ML) and Artificial Intelligence (AI) is required to implement advanced algorithms and predictive models that drive innovation. • Familiarity with best practices in data governance and ethical AI usage is expected. • Education requirements include a Master of Science (M.Sc.) in Data Science or a Postgraduate Diploma in Data Science. • Certifications such as Certified Data Scientist or Certified Analytics Professional are preferred to validate expertise. • Good to have experience with LLMOps practices for managing large language models and knowledge of version control systems, especially Git.