MAJOR RESPONSIBILITIES

Data Mining

- Help data scientist to prepare data set especially on customer data, such as data cleansing, validation, tagging, and - Run descriptive analysis for one particular area (Sales/Service/Online).

NLP (Natural Language Processing)

- Help data scientist to handle data preparation with repeatable programming code - Trial on AI powered NER (Named Entity Recognition), such as PII (Personal Identification Information) detection and protection in customer data, product action information detection in marketing & sales - Explore some potential causal analysis and value mining in terms of modeling and programming

OR (Operational Research) & RL (Reinforcement Learning)

- Collect and organize automotive industry compliance information, especially those key information to fuel economy and NEV credits, and government policies

- Study in order to understand competition and dynamics between OEMs under compliance pressure

- Study on OR model for logistics, such as objectives, constraints, cost, …

- Try different solving approaches to benchmark results, and efficiency REQUIREMENT

Master at least, PhD candidate is preferred, majored in computer science, economics, math, physics, statistics, or any relevant engineering fields 

Be interested in data and data science

Be interested in NLP

Be interested in OR, and RL

Basic knowledge on NLP technology, such as segmentation, sentiment, HMM, GPT, Bert, Transformer, ...

Basic knowledge on OR, such as GA, SA, NP-Hard, RL, ...

Hands-on experience on Python, familiar with Pandas/Numpy, ...

Hands-on experience on annotation, feature engineering, labeling,

Hands-on modeling, such as regression, model performance, hyper parameter, grid search, ...

Aspiration and ambiguity

Results driven

Communication