Data Analyst/Scientist

Sydney
Full-Time
Hybrid
Engineering
About Us

We're a rapidly growing tech company based in Sydney's Barangaroo district, specialising in building scalable AI solutions for enterprise clients. We value academic rigour and scientific methodology while embracing the dynamic nature of startup culture.

The Candidate

We're seeking an established post-doc or recent PhD graduate to bring their curiosity, and passion for knowledge to the commercial space. The candidate should have strong analytical skills and either experience or strong interest in machine learning. Main duties will include analysing new incoming data sets and share key findings through presentations and reports. Additionally, working with data engineers to communicate requirements for data formatting when productionising new models and visualisations. Creative thinking and initiative are key qualities that are required. This role offers a unique opportunity for academics looking to transition their expertise into industry. No previous commercial experience is required.

Why This Role Is Different
  • Published research experience is considered a strength, not a gap
  • Maintain the intellectual rigour of academia while seeing your work directly impact industry
  • Freedom to apply theoretical frameworks to solve real-world challenges

Requirements & Core Skills

Python

  • Advanced/expert at functional programming
  • Ability to write reusable code with Numpy, Pandas/Pyspark, and Scipy
  • Version control using a remote repository (e.g. Github)
  • Ability to create high quality impactful visualisation that show a clear message to a non-technical audience
  • Knowledge of code optimisation, class structures, and software engineering best practices.

SQL

  • Familiarity with standard query structures
  • Ability to partition tables
  • Knowledge of order of query execution for optimisation

Nice to Haves
  • UnixCLI proficiency
  • Cloud computing (Azure, AWS, or GCP) experience
  • Knowledge of ML concepts
  • Feature engineering experience
  • Experience with standard ML algorithms (linear regression, GBMs, NNs)
  • Graph network analysis experience
  • Behavioural clustering experience
Ideal Candidate Profile  

We're particularly interested in candidates who:

  • Hold a PhD in any related subject
  • Are lead author on multiple published articles in gold tier journals
  • Demonstrate strong statistical theoretical foundations
  • Have an entrepreneurial drive
Culture and Environment 

What We Offer

  • Professional development budget
  • Fast-paced environment with direct impact on  product development
  • Continued connection to academic research through:
    • Conference attendance and presentation opportunities
    • Potential for publishing industry research
    • Collaboration with uacademic institutions

Work Arrangement
  • Hybrid
  • Location Sydney: Barangaroo
  • Modern Offices with Excellent Facilities