- Senior Engineer - Data Science, with Automotive domain having 6 - 10 years of experience, demonstrating advanced proficiency in data analysis, utilizing statistical techniques and tools to derive meaningful insights from complex datasets.
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The ideal candidate will possess a robust set of qualifications and skills tailored to data science and artificial intelligence, with a focus on data mining, machine learning, and big data.
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Significant experience in data mining is crucial for identifying patterns and trends in large volumes of data to enhance business processes and outcomes.
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Expertise in machine learning is essential for developing predictive models and algorithms that automate decision-making processes.
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Comfortable with various ML frameworks and libraries, the candidate will apply them to real-world problems to refine data accuracy and optimize performance.
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Data profiling skills are vital for assessing data quality, ensuring it meets necessary standards for analysis, and identifying any quality issues.
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Experience with big data technologies, utilizing tools such as Hadoop and Spark, is a must for efficient data analysis.
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A solid understanding of artificial intelligence is required, involving projects that leverage AI to enhance product offerings and improve customer experiences.
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Candidates should hold a Master’s degree in Data Science, Artificial Intelligence, or a related field, ensuring they possess the necessary theoretical and practical knowledge.
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Certifications such as Certified Data Scientist and Microsoft Certified: Azure Data Scientist Associate are preferred, validating the candidate's expertise and commitment to ongoing professional development.
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Proficiency in Python programming for data manipulation and automation, familiarity with LLMOps practices, and a strong understanding of software development methodologies are good to have.
Artificial Intelligence, Big data, Data analysis, Data mining, Data Profiling, llmops, ML, Python
