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