Role: Data Scientist (Simulation)

Initial contract duration: 6 months

Extension term: 12 months

Number of extensions: 2

Location of work: ACT

Our large Federal Government Client is seeking for data scientists on an urgent basis!!

They are looking for a data scientist with experience and skills in statistical simulation, probability theory and scientific computing, as well as experience or a desire to learn the Microsoft Azure platform. The focus will be on models developed in R.

Technologies you might work with:

• programming languages like Microsoft SQL, R and MATLAB
• Python, Jupyter Notebooks, Spark
• PyTorch , Keras , Tensorflow, SciKit Learn
• Microsoft Azure (Azure Cognitive Services, Azure Machine Learning, Databricks)
• ALM Azure DevOps tooling
• Data Preparation, cleansing, transformation and loading
• Model - Discovery, Plan, Build, Test and Operationalise
• Define and create data structures

What you will work on:

• Continuous development of our clients' machine learning platform and products based on mainly Azure
• Identifying, creating and preparing data required for machine learning algorithms
• Deploying and maintaining machine learning solutions in production
• Using Agile/SCRUM methodology
• Depending on your experience you might work on custom machine learning solution architecture, design, definition and implementation

The ideal candidate will have:

• Strong mathematical skills to help collect, measure, organise and analyse data
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation
• Advanced experience with building applications in one of the major languages, preferably R (alternatively Python)
• Experience with R scientific computing and parallelisation libraries
• Real life experience with statistical simulations and applied probability theory in various domains (e.g. biosecurity)
• Experience with Azure cloud technologies including Azure Databricks
• Real life experience in Image Recognition and Computer Vision (object detection, classification)
• Familiar with machine learning libraries like Tensorflow, Keras, PyTorch and similar
• Experience with Azure cloud technologies including Azure Databricks
• Experience with other machine learning algorithms
• Strong collaborative attributes and a proactive approach to sharing knowledge amongst peers.
• Ability to understand business requirements and translate them into technical requirements
• Experience with Microsoft Azure DevOps, and GIT.
• Experience working in an agile team with agile practices e.g., SCRUM.

Criteria

Essential criteria

• Proven experience in implementing Analytics in Microsoft Azure environment. Working R scientific computing and parallelisation libraries, statistical simulations and applied probability theory
• Data science model architecture, design and implementation on Azure Databricks and Implementation
• Programming skills to collect, analyze, and interpret large data sets to develop data-driven solutions for business challenges
• Experience in leading the design and development activities using Agile product development environment and familiarity with Agile ceremonies.

Desirable criteria

• Real life experience in Image Recognition and Computer Vision (object detection, classification)
• Proven experience in implementing Machine Learning models (e.g Deep Learning), ML development frameworks like Tensorflow, Pytorch, scikit learn etc.

Please note, due to the nature of the work Australian Citizenship and an active Baseline clearance is mandatory

Interested?? Please hit APPLY NOW Button or you can also call on 0450813012 for a confidential discussion.

Shwetha Bhaskar
Candidate Manager

ManpowerGroup is committed to being a Diversity Confident Recruiter and encourages applications from people from a diverse range of backgrounds, including people with a disability. Please indicate your preferred method of communication in your resume and please let us know if you require any reasonable adjustments should you be contacted for an interview.

Aboriginal and Torres Strait Islander people are encouraged to apply.

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