Specialist Data Science

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Region

Australia

Location

Queensland

Work type

Full Time, Fixed Term

Job category

Engineering, Technology/IT

Date published

11 September 2019

Date closing

17 September 2019 at 00:00 GMT

About BHP

At BHP we support our people to grow, learn, develop their skills and reach their potential.

With a global portfolio of operations, we offer a diverse and inclusive environment with extraordinary career opportunities. Our strategy is to focus on creating a safe work environment where our employees feel strongly connected to our values and objectives, and where the capability of our people is key to our success.

Come and be a part of this success.

About the role

BHP’s Maintenance and Engineering Centre of Excellence (MECoE) is the coming together of a dedicated, innovative team focused on identifying, achieving and maintaining the highest standards in maintenance for BHP globally.

This role will be performed from our Centre of Excellence hubs based in our Brisbane office on permanent and fixed term contracts, supported by the latest technology to engage with our operations around the Australia and the globe. You will be a member of a diverse team of data analysis and analytics team of around 40 data scientists, systems dynamics specialists, data visualization specialists and data analysts.

As a Specialist Data Scientist, your role will be key in ensuring the Maintenance function is continuously improving its effectiveness through having integrated fit-for-purpose Data Analytics processes. You will be part of a global function, whose fundamental outcome is to deliver data driven solutions that will support and improve the performance of our equipment and Maintenance processes.

In this role you will have to opportunity to work on projects related to:
  • Generating business insights through discovery and exploration of multiple structured and unstructured sources;
  • Creating, running and maintaining ETL processes within a big data environment; and
  • Applying state-of-the-art data science algorithms and methods to provide practical solutions that deliver tangible business value. 
Whilst: 
  • Confidently presenting ideas, results and recommendations to internal stakeholders; 
  • Working collaboratively with the larger data analytics team and subject matter experts; and
  • Keeping up-to-date with latest trends and best practices in Data Science.

About You

Your CV should ideally outline your skills and experience in the following areas:
  • Variety of machine learning and statistical modelling techniques (both supervised and unsupervised), e.g. text mining, streaming analytics, clustering, deep learning and their real-world implications;
  • IBM Watson, Programming (R, Python, Shiny, SPSS);
  • Story telling using different forms of data visualization;
  • Descriptive, diagnostic, predictive, and prescriptive modelling;
  • Structured and Unstructured data mining;
  • Dimensionality reduction and feature engineering;
  • Automation of data preprocessing, wrangling,  preparation and other ETL processes
  • Strong Cloudera, HUE, Impala, SQL skills;
  • Experience with big data technology;
  • Experienced within a project management framework and mindset; 
  • Experience in working with variety of stakeholders and people with different areas of expertise;
  • Experience in structured problem solving approaches to generate business value through analytics; and
  • A relevant tertiary qualification (Master’s degree in Computer Science, Statistics, applied math, or related discipline) is advantageous.

Supporting a diverse workforce

At BHP, we recognise that we are strengthened by diversity. We are committed to providing a work environment in which everyone is included, treated fairly and with respect. We are an Equal Opportunity employer and we encourage applications from women and Indigenous people.

We know there are many aspects of our employees’ lives that are important, and work is only one of these, so we offer benefits to enable your work to fit with your life. These benefits include flexible working options, a generous paid parental leave policy, other extended leave entitlements and parent rooms.  
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