Senior NLP Data Scientist

Auckland, New Zealand · Data expand job description ↓

Description

In a newly created role we are on the hunt for a senior NLP data scientist in advanced text analytics to help us enhance and enrich our demand intelligence platform. You will be using advanced techniques such as advanced NLP algorithms, advanced machine learning modelling and advanced statistical modelling, etc to solve complex problems within a cutting-edge development environment.

You will work closely with our data scientists and data analysts to deliver data science and intelligent analytical solutions to improve our data quality, enrich our data IP. You will be excited by the challenge of finding new ways to improve our ranking algorithms and deliver intelligent features and models which will continuously add value to our core business.

You will be working within a business that is focused on a shared vision of growing globally and continuing to deliver a unique platform across a diversified set of customers. This role will be immensely rewarding and you will be working alongside an experienced and passionate team who have been involved in starting up businesses that now employ hundreds of staff across the world.

Requirements

Key Tasks and Expected Results

  • R&D on advanced NLP techniques, advanced machine learning algorithms, statistical modelling techniques, etc to enhance and enrich our data intelligence
  • Building large-scale NLP solutions from researching a prototype to production
  • Deliver advanced NLP solutions to enrich our data coverage
  • Proactively enhance and improve data quality. Automate some of the current manual data tasks to improve the efficiency, accuracy and consistency
  • Work with data and dev team to improve data quality and deliver data intelligence


Skills, Knowledge and Competencies

  • Strong background in Natural Language Processing (NLP) algorithms especially in advanced text analytics, advanced machine learning, neural networks, advanced statistical modelling, analytical programming
  • Advanced experience with a variety of NLP methods for information extraction, topic modeling, parsing, and relationship extraction (deep learning and experience with Tensorflow, Keras etc. would be a plus)
  • Advanced experience building machine learning models by applying best-in-class solutions including feature engineering, and tuning of model hyperparameters
  • Strong software engineering skills and the ability to build models at scale
  • Experience in building large-scale NLP solutions from researching a prototype to production
  • Essential technical skills in SQL, Python or R
  • Experience in Elasticsearch and AWS redshift will be advantages
  • Able to take initiative
  • Tactful and mature
  • Aptitude for research
  • Good organisational skills
  • Strong leadership and communication skills

Benefits

  • Competitive salary
  • Health insurance
  • 3% KiwiSaver employer contribution (for those eligible)
  • Flexible working arrangements
  • Pick your own laptop
  • Casual dress code
  • Collaboration friendly office


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