Senior Data Scientist(5329)

• Create and manage advanced machine learning, deep learning, and LLM 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
• Work with teams with senior data scientists, other junior data scientists, and data engineers to develop and uphold efficient procedures for gathering, retaining, and scrutinizing data
• Work in teams with data engineers
• 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 based on feedback and guidance from senior data scientists

• Ph.D. in computer science, information systems, information science, statistics, or related AI or machine learning field in the past 7-10 years
• 7+ years of AI/ML experience (including those attained during Ph.D. studies)
• Proficient in Python, GitHub, and Markdown for 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 fundamental deep learning implementation, including data encodings, processing units, and learning paradigms
• Proficiency in adapting machine learning or deep learning algorithms based on unique dataset characteristics and business requirements
• Strong practical network science skills and experience
• Hands-on experience with text analytics for named entity recognition, sentiment analysis, and topic modelling.
• Hands-on 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 models into user interfaces using technologies such as Streamlit, Dash, Tableau, or PowerBI
• Must be willing to travel to Taiwan for at least 3 months each year for training, team building, and project coordination, * Knowledge on processing text in financial, accounting, and market analysis reports
• Multi-lingual text analysis using packages like Stanza, Polyglot, or Textflint.
• Knowledge of graph embedding techniques such as graph convolutional networks and graph attention networks using packages such as stellargraph, PyG, or Deep Graph Library.
• Understanding of neural information retrieval approaches, including deep structured semantic models, entity resolution techniques, and retrieval augmented generation (RAG).
• Familiarity and practical experience with learning paradigms such as adversarial learning, knowledge distillation, and self-supervised learning.
• Publications in leading AI conferences (e.g., NeurIPS, ICLR, ICML, KDD) and/or journals (e.g., IEEE TKDE, ACM TOIS)

At TSMC, your base pay is only part of your overall total compensation package. At the time of this posting, this role typically pays a base salary between $170,000 and $270,000 per year. The range displayed reflects the minimum and maximum target for new hires. Actual pay may be more or less than the posted range. Factors that influence pay include the individual’s skills, qualifications, education, experience and the position level and location. TSMC’s total compensation package consists of market competitive pay, allowances, bonuses, and comprehensive benefits. We also offer extensive development opportunities and programs. #J-18808-Ljbffr