Principal, Applied Science Leader

1 month ago


Bengaluru, Karnataka, India Tekion Full time
About Tekion

Tekion is revolutionizing the automotive industry with its cutting-edge cloud-native platform, ARC, AEC, and APC. As a leader in applied science, you will play a crucial role in driving innovation and advancing the field of machine learning.

Job Description

We are seeking a highly skilled and experienced professional to lead our applied science team. The ideal candidate will have a strong background in machine learning, AI, and data science, with a proven track record of delivering business impact.

Key Responsibilities:
  • Provide strategic direction and technical leadership in applying machine learning and AI within the organization.
  • Influence the R&D roadmap based on deep industry understanding and business needs.
  • Drive innovation with novel solutions in the automotive industry, advancing applied science through the latest research implementation.
  • Collaborate with cross-functional teams to define and integrate machine learning solutions into products and services.
  • Publish research in top conferences, advancing field knowledge.
  • Provide mentorship to applied scientists, ensuring project success.
  • Define metrics for model evaluation in offline and real-time settings.
  • Quantify and communicate ML impact to executives, influencing decisions.
  • Champion ethical AI practices, ensuring compliance and standards.
  • Define best practices for ML model development, testing, validation, and monitoring.
Requirements:
  • Bachelor's, Master's, or Ph.D. in Data Science, Mathematics, Operations Research, or related field.
  • 14+ years of hands-on experience with analytics, data science, and big data experience in a business context.
  • Experience working with major ML algorithms and frameworks.
  • Significant experience in Data Science and Machine Learning with a strong proven track record in delivering positive business impact.
  • Experience in programming in Python or similar languages.
  • Experience with data visualization and presentation, turning complex analysis into insights.


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