Data Scientist Engineer

Minimum Technical Qualifications:

1. Excellent knowledge of Python (with Jupyter, PyCharm, or similar environment), GitHub, and Markdown.

2. Extensive experience with data wrangling, data pre-processing (e.g., de-duplication, imputation), and data extraction from structured and unstructured (e.g., social media) data sources with tools such as Pandas or SideTable.

3. Experience in developing classical machine learning (supervised or unsupervised) algorithm pipelines, including data annotation, feature extraction/weighting, model selection and tuning, and model evaluation using tools such as scikit-learn.

4. Strong knowledge of fundamental statistical principles, including basic knowledge of probability, probability distributions, relationships between variables, hypothesis testing, and statistical significance.

5. Experience with executing network science, including network construction, centrality measures, and community detection using packages such as networkX or iGraph.

6. Experience with text analytics (e.g., named entity recognition, parts of speech tagging, parsing, coreference resolution, topic modelling, sentiment analysis) and text graphs using packages (e.g., NLTK, Spacy, or Gensim).

7. Fundamental and hands-on implementation knowledge of deep learning, including constructing data encodings (graph, tree, grid, sequence), basic processing units (e.g., ANN, RNN, CNN, GNN), model extensions (e.g., attention mechanisms, highway), learning paradigms (supervised, unsupervised, adversarial), and learning strategy and implementation (optimization, regularization, gradient descent, dropout) using packages such as Keras, PyTorch, or TensorFlow.

8. Front-end/UI development and deployment using serverless technologies such as Streamlit and Netlify is a plus.

Diversity, Equity and Inclusion (DE&I) reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to DE&I allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. To strive to create a workplace that is equitable and accessible to all employees, we also provide reasonable accommodations for qualified individuals with disabilities. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.