Data Scientist – Canberra


Location: Canberra

Due to the Classified nature of certain projects, this role is only available to Australian Citizens.

Too many talented Data Scientists are left twiddling their thumbs in the current market. People are being brought on board with the promise of certain problems to solve, and their day to day experience has been a little different…

We’re representing the Cognitive and AI Management Consultancy division of a global organisation. Their team is made up of a wide collective of talented individuals across cognitive computing, big data, analytics, digital business design and anthropology. They collaboratively tackle their clients’ problems, massage the pain points and extract the business or organisational value. 

What we have here is an awesome home for a talented Data Scientist, with a long runway of challenging, meaningful (and sometimes top-secret) work.

The organisation uses a Human Centered Design approach to their decision making, and has a diverse team of Statisticians, Scientists, Software Developers, Architects, Engineers, Anthropologists, Behavioural Economists… quite a smart bunch overall.  
You’ll be working with clients to translate their market or organisational problems into workable analytical solutions – think, customer, product, and supply chain as a few examples. We’re helping this team recruit a high performing Data Scientist who also has the ability to engage, convince and educate clients. In summary, outstanding technical skills AND top notch communication skills. Sound like you? Excellent.

Sounds interesting, but what can I expect to do day to day?

  • Analyse new and existing data sources to assess their suitability for the business issue
  • Extract and manipulate the data: cleanse, standardize, scale, bin, categorise, tokenise, stem and transform it
  • Put your discovery tools to work and help support the business case
  • Design, develop and implement optimisation algorithms and solutions across risk and portfolio analysis, supply chain management, asset management etc
  • Work out predictive analytical models for customer segmentation, offer propensity, fraud detection etc
  • Create and deploy the approach to productionising model scoring, as well as the closed loop feedback paths to enable a test and learn approach
  • Conduct visual analysis, extract patterns and meaning in a visual format
  • Frame the findings within the commercial context to convey business impacts and benefits

Because we want you to join this highly capable of technical team players and hit the ground running, you’ll be confident with digital and cognitive technologies and analytics, information management and business process based solutions. You’ll be a disciplined problem solver, working with stakeholders to define and unearth true business needs. In the past you will have shown you can:

  • Extract knowledge and insights from both structured and unstructured data
  • Work with an existing lifecycle management framework
  • Determine the appropriate approach across data collection, sampling and processing pipelines to execute a reproducible experiment – ensuring a closed loop feedback system
  • Use algorithms to learn patterns and extract answers – with the model based on input data, not one that requires explicit programming
  • Apply techniques of statistical inference to test hypotheses and derive estimates of population statistics from sample data
  • Simplify and communicate the key findings in a visual, accessible way

That’s a lot of technical ground to cover, and at the risk of turning this advert into a series of lists, here’s the breakdown of the kind of languages/tools/datastores at you will have used:

R, SQL, SAS, Python, SPSS, Pig, Hive, Impala, RapidMiner, Salford Systems, Weka, KXEN, Matlab, Octave, Teradata, Aster, Oracle, Neo4J, Hadoop, Tableau, QlikView, Alteryn, Alphine Data Labs, Unica, SAS CI, SAS MO, Radar, MapInfo, PostGIS, Git. 

If you’re looking to tackle interesting problems in a professional and collaborative environment, apply online, or contact me on [email protected]

Apply Now

Date Listed
[email protected]
Permanent / Full Time