First listed on: 17 November 2020

Data Scientist

Key Responsibilities

  • Excellent communication skills, problem solving and analytical skills.
  • Deploy your models into production, monitor their real-world impact, and work with your users to improve these models over time.
  • Collaborate with a diverse, cross-functional team of individuals across the company, from fellow data scientists, to software architects, to product managers and senior business leaders.
  • Demonstrated experience in applying data science to meet the needs of business users, including understanding business requirements, articulating problem statements and developing criteria for suitable implementation of data science solutions.
  • Demonstrated knowledge of appropriate techniques to explore, profile and cleanse data from a diverse range of sources and experience in presenting exploratory data analysis to non-technical stakeholders.
  • Experience using Python, PySpark, R or SparkR programming languages through development environments including Databricks for developing supervised and unsupervised machine learning models, with a particular emphasis on Natural Language Processing.
  • Demonstrated experience in using data science preferably for economic research.

Desirable criteria

  • Experience with proof-of-concept development, preferably in Power BI or Shiny.
  • Experience working with big, unstructured datasets. Knowledge of the Burning Glass dataset would be an advantage.
  • Expertise in Agile methodology and a clear understanding of the ethical implications and governance of algorithms.


Please contact alex.bullen@charterhouse.com.au for more information on the client.

 



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