Data Scientist

Melbourne

You Data Scientists are hot property at the moment, but it seems you’re not always being hired to tackle the right problems…

Some employers are jumping the gun on key hires and once you’re through the door you’re left scratching your heads, because the maturity of the data really doesn’t justify your role… In fact, you’re not sure if an Engineer or Architect has even come close to it recently. Sound familiar? Well no need to worry about that here. Onward! 

This client packs a punch in the Melbourne market. They consistently engage their clients to solve complex, interesting, meaningful (and sometimes top secret) problems.

They’re recruiting for a high performing Data Scientist who also has the ability to engage, convince and educate clients themselves. In summary, outstanding technical skills AND top notch communication skills. Sound like you? Excellent.

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.

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, click apply!

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Date Listed
10/09/2018
Reference
AF769636
Location
Melbourne
Contact
[email protected]
Type
Permanent / Full Time