Senior Data Scientist

1 month ago

San Jose, California, United States TSMC Full time
Job Title: Senior Data Scientist

At TSMC, we are seeking a highly skilled Senior Data Scientist to join our Artificial Intelligence for Business Intelligence (AI4BI) Center. As a Senior Data Scientist, you will be responsible for designing and implementing advanced machine learning and deep learning algorithms to extract insights from structured and unstructured data sources.

Key Responsibilities:

  • Create and manage advanced machine learning and deep learning algorithms to develop data-driven solutions for complex business problems
  • Analyze and interpret complicated data sets to provide actionable insights that aid in enhancing decision-making processes for business stakeholders
  • Work with cross-functional and international teams to identify and prioritize data-driven opportunities, including the development and deployment of predictive models to drive business outcomes
  • Lead teams of junior data scientists and data engineers to develop efficient procedures, follow best practices, and provide implementation guidance (e.g., code reviews, demos) for gathering, retaining, and scrutinizing data
  • Consistently assess and refine model performance to ensure precision and dependability
  • Communicate insights and recommendations via internal reports to technical and non-technical stakeholders
  • Design and implement the latest AI, machine learning, and data science tools and techniques to enhance existing processes
  • Produce publications in leading AI conference and/or journal venues

Requirements:

  • Ph.D. in computer science, information systems, information science, statistics, or related AI or machine learning field
  • At least 7-10 years of significant AI, machine learning, and data science-related working and research experience
  • Experience gathering requirements from business stakeholders and developing technical machine learning designs for implementation
  • Strong practical experience with data wrangling, pre-processing, and extraction from structured and unstructured data sources
  • Strong conceptual and practical knowledge and experience of classical machine learning algorithms and learning paradigms, including supervised learning and unsupervised learning
  • Strong skills in deep learning implementation, including data encodings, processing units, and learning paradigms
  • Proficiency in developing novel machine learning or deep learning algorithms based on unique dataset characteristics and business requirements
  • Strong practical network science skills and experience
  • Experience with text analytics for named entity recognition, sentiment analysis, and topic modelling
  • Experience with time series modeling and forecasting with statistical and/or deep learning-based approaches
  • Experience fine-tuning LLM-based approaches with strategies such as low rank adaptation, few shot learning, and others
  • Experience with prompt engineering on LLMs with techniques such as reinforcement learning, prompt tuning, and others
  • Knowledge about deploying machine learning models into user interfaces
  • Publications in leading AI conferences (e.g., NeurIPS, ICLR, ICML, KDD) and/or journals (e.g., IEEE TKDE, ACM TOIS)
  • Demonstrated experience leading teams of junior data scientists and engineers in end-to-end machine learning development and deployment
  • Experiences in iteratively developing machine learning designs based on end user feedback
  • Must be willing to travel to Taiwan for at least 3 months each year for training, team building, and project coordination

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