Data Scientists


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.

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 high performing Data Scientists who also have 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.

Because we want you to join this highly capable technical team 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!

Apply Now

Date Listed
[email protected]
Permanent / Full Time