NLP Data Scientist

RESPONSIBILITIES

• Develop cutting edge text mining, text analytics and NLP machine learning algorithms and NLP technique. It's especially designed to extract key information from textual data related to specialty chemical industries
• Create model comparison benchmarks and model selection processes
• Support the engineers in model optimization and productization
• Research and develop the NLP techniques to categorise the text data for systematic access and research and summarise the text by natural language processing for a technology group
• Documentation which clearly explains how algorithms have been implemented, verified and validated.
• ML/AI in focus for position: NLP techniques entity extraction, topic modeling, named entity recognition document understanding, object detection, computer vision, etc. And unique techniques of lower data text environment

o   Embedding ML/AI in core processes (human decisions enhanced with machine insights)

o   Implement ML models or its combination

o   Creating proprietary ML models where necessary

o   Accelerates training of ML models via implementing phased end-to-end pilot projects in

an agile manner.

o   Progressively test and train ML/AI capabilities to learn and adapt the best model for

Evonik’s problem statements.

o   Develop technical concept with a focus on NLP

• For prototyping, front and back-end requirements:

o   Understanding of API and interfaces to sub-systems

o   Develop and influence the network infrastructure for innovation projects.

o   Work directly with data (either available data or creating sourcing/suggestion of data

source) to derive actionable insights.

REQUIREMENT

• Programming skills (Python, C++, shell scripting), Mathematics (Linear Algebra, Calculus, etc); Natural Language Processing (NLP) Techniques ( like Attention mechanism, Transformer, word embedding, tokenization, RNN and so on); NLP Applications (Named Entity Recognition, Text Summarization, Dependency Parsing, etc)
• PhD degree and/or postdoctoral experience in computer science, engineering, statistics, mathematics, and allied disciplines. (This position opens to fresh PhD graduate)
• Strong interest in researching and implementing new ML related technologies for NLP
• Minimum 5 years' hands-on experience in Machine Learning/ Artificial Intelligence projects, preferable to be focused on NLP or Speech Recognition technologies
• Proven track record of completing multiple data science projects end-to-end; from idea generation, objectives formulation, to implementation
• Experienced in Text mining and text abstraction with NLP concepts
• Experience in mentoring junior engineers and setting technical direction related to NLP
• Demonstrated collaborative leadership skills

APPLICATION NOTE

Interested applicant please apply to the position with your updated CV in MSword or PDF format together with the following information.

1. Current Package
2. Reason for Leaving
3. Notice Period
4. Expected Basic Salary