Join our team as a Staff Engineer specializing in Data Science, focusing on the Automotive domain. This role offers a unique opportunity to leverage extensive professional experience, ranging from 9 to 13 years, to develop and implement advanced data-driven solutions. You will play a pivotal role in shaping the future of data science within an industry-leading organization.

This position requires a deep understanding of applying data science techniques to real-world industry challenges, particularly within the automotive sector. You will be instrumental in driving innovation and making impactful contributions through data.

Key responsibilities include developing and deploying machine learning models, conducting in-depth data analysis to extract actionable insights, and managing large datasets using SQL. You will also be responsible for analyzing human language data using NLP techniques and ensuring adherence to best practices in data governance and ethical AI. The role involves contributing to the strategic direction of data science initiatives and mentoring junior team members.

Responsibilities will also extend to exploring and implementing advanced AI algorithms, ensuring data integrity, and optimizing database interactions. A proactive approach to identifying opportunities for data-driven improvements is essential.

Candidates must possess advanced proficiency in Python, including libraries like Pandas, NumPy, and Scikit-learn, alongside strong SQL expertise. A solid foundation in data analysis methodologies, NLP, ML, and AI is crucial. A Master of Science (M.Sc.) in Data Science or a Postgraduate Diploma in Data Science is required. Experience with LLMOps practices and Git is highly desirable.

We are seeking individuals with a robust understanding of data-driven solutions within industry contexts. Familiarity with ethical AI usage and data governance best practices is expected. Preferred qualifications include certifications such as Certified Data Scientist or Certified Analytics Professional.