Data Scientist

MTP Services

Data Scientist with a baseline clearance needed for Adelaide based role. Long term contract!

About the Role:
The successful candidate requires an in-depth understanding of data science concepts. They will take the lead in solving complex data-science problems, and guide/mentor others to achieve results.
The data scientist uses their expertise in analytical modelling, algorithms and statistical methods to produce insight from large volumes of data.
In collaboration with Data Scientists, the successful candidate will develop analytical solutions to deliver transformative technical projects which provide significant business value to the Department.
They will work closely with business clients to conduct requirement analysis, develop advanced analytical solutions to deliver insights to business for risk identification/assessment and decision making, as well as deploy models to production.

Our Ideal Job Seeker:
Thrives in a highly dynamic environment and deals well with uncertainty.  We are a team of many moving parts and our ideal candidate will need to adjust their approach depending on the audience.
Integration and collaboration is key, as well, the ability to pivot quickly and cover gaps to ensure the success of our team overall.
  • Deep expertise in algorithms and statistical methods
  • Demonstrated skill in choosing methods commensurate with the business problem
  • Demonstrated knowledge and experience with machine learning and analytics programming languages and tools, in particular, R (experience in Shiny is highly desirable) and Python
  • Qualifications in Computer Science, Mathematics, Statistics or other relevant disciplines
  • Strong practical experience (preferably 2+ years’ experience) across a number of data science areas such as machine learning including deep learning, statistical modelling, natural language processing, behavioural analytics and visualisation
  • Strong data wrangling and analysis skills
  • Professional commitment and skills of maintaining code quality
  • Familiarity with the Hadoop and Spark ecosystem and experience in Scala would be a bonus
  • Can work both independently and as part of a team to achieve results
  • Demonstrated capability of communicating clearly with both technical and non-technical stakeholders
Day to Day tasks:
  • Work with a cross functional team of analysts, report developers and engineers to move Proof-of-Concept models/products to production for clients
  • Utilise complex analytic techniques and experimental methods independently to develop technological solutions to achieve business outcomes, using computational methods to discover data patterns and to develop classification, prediction and optimisation models
  • Manipulate and analyse big data from disparate systems
  • Apply in depth knowledge in forecasting, statistics, econometric modelling, linear programming and other optimisation algorithms and quantitative techniques, strong data cleansing skills and experience in devising testing methods
  • Develop, enhance and maintain a range of mathematical models to monitor demand and analyse behavior
  • Manage relationships with stakeholders across a range of complex issues to influence desired outcomes and actively participate in technical forums both internally and externally
  • Work collaboratively in a team environment, consult and share information with others and communicate decisions and progress to achieve work area and business outcomes
  • Provide technical knowledge and expertise in reducing vast and disparate data sets into categorised and useful summaries and reports to improve user experiences and support overall business outcomes
  • Work closely with project managers and technical leads to meet deliverable and assist in data-driven development of products to industry and agency standards
  • Convert stakeholder needs into business requirements and provide analytical solutions to support those needs
  • Present data and complex numerical information in a clear and concise manner and clearly communicate statistical concepts to senior and non-technical audiences
  • Encourage the use of new technologies and techniques to solve data problems and publish regular reporting and dashboards based on stakeholder requirements
If you have any questions please contact Sally Dixon from MTP Services on 0450050252, or via email
Apply now for more info!