We are seeking a Senior Data Science Engineer with a strong background in the automotive domain. This role requires 6-10 years of experience, demonstrating advanced skills in analyzing complex datasets using statistical techniques to uncover valuable insights. The ideal candidate will possess comprehensive qualifications in data science and artificial intelligence, with a focus on data mining, machine learning, and big data.

This position is ideal for an experienced professional looking to leverage their expertise in data mining to identify patterns and trends, thereby enhancing business processes. Expertise in machine learning is essential for developing predictive models and algorithms that automate decision-making. Candidates will apply ML frameworks to real-world challenges, optimizing data accuracy and performance.

A strong understanding of AI is crucial for projects aimed at improving product offerings and customer experiences. Data profiling skills are vital for ensuring data quality and identifying any issues before analysis. Familiarity with big data technologies like Hadoop and Spark is a must for efficient data processing and analysis.

Candidates must hold a Master’s degree in Data Science, Artificial Intelligence, or a related field. Preferred certifications include Certified Data Scientist and Microsoft Certified: Azure Data Scientist Associate. Proficiency in Python for data manipulation and automation, knowledge of LLMOps practices, and a solid grasp of software development methodologies are beneficial.

Extract, transform, and analyze large, complex datasets to identify actionable insights and trends. Develop and implement sophisticated machine learning models and algorithms for predictive analytics and decision automation. Apply data mining techniques to discover patterns and optimize business processes. Utilize big data technologies such as Hadoop and Spark for efficient data processing and analysis. Assess and ensure data quality through robust data profiling techniques. Contribute to AI-driven projects focused on enhancing product offerings and customer experiences. Collaborate with cross-functional teams to integrate data science solutions into existing systems. Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

Minimum of 6 years of professional experience in Data Science or a related field, with a focus on the automotive domain. Demonstrated advanced proficiency in data analysis, statistical techniques, and deriving insights from complex datasets. Significant experience in data mining, identifying patterns and trends in large datasets. Expertise in machine learning, including the development of predictive models and algorithms. Proficiency with various ML frameworks and libraries. Strong data profiling skills to assess data quality and identify issues. Experience with big data technologies like Hadoop and Spark. Solid understanding of artificial intelligence principles and applications. A Master’s degree in Data Science, Artificial Intelligence, or a closely related field. Preferred certifications: Certified Data Scientist, Microsoft Certified: Azure Data Scientist Associate. Proficiency in Python programming for data manipulation and automation. Familiarity with LLMOps practices. Strong understanding of software development methodologies.