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Jobs on R, data science and analytics

Data Scientist - Department of Human Services, Australia

posted Nov 9, 2017, 6:40 PM by Yanchang Zhao   [ updated Nov 9, 2017, 6:41 PM ]

ROLE DESCRIPTION:

The requirement, at a high level is for an agile and experienced

Data Scientist/Developer to focus on:

  • Creating Machine Learning/deep learning and Artificial Intelligence applications utilizing open-source tools for design and development
  • Contributing to the development of real-time analytics with a highly hands-on role requiring innovative design and comprehensive Machine Learning / Artificial Intelligence solutions to complex problems.

The functions performed in the role are crucial to meeting critical deliverables within the ICT Product Architecture Branch and across the CIO Group.

Key skills/attributes required are:

  • 10 years’ minimum work experience with relevant technologies and with designing, implementing, administering, and supporting build and delivery or machine learning systems
  • Proven experience in Data Science roles with a focus on deep learning/ machine learning tools using python and java.
  • You will require excellent presentation skills, able to work in small teams facing into business stakeholders.
  • You will need to be a quick learner, and display an intellectual curiosity.
  • Complex systems integration and/or use of Microsoft/Google AI capabilities also highly regarded
  • Enjoy working in a fast paced and collaborative / agile Environment
  • Comfortable working within teams exchanging ideas and can convey complex information clearly and concisely
  • Passionate about machine learning, data structures, distributed computing and artificial intelligence.

The project is aiming to deliver an Artificial Intelligence that can learn about various aspects of the organisation and be able to assist in delivering better business outcomes.

The duties the resource will be required to perform include:

  • Development & implementation of the latest open-source,
  • Analytics, Machine Learning & AI Technology.
  • Creating machine learning products using open sourced tools like Tensorflow, H2O etc.
  • Problem solving across a variety of different data-sets and industries.

Application and commercialisation of machine learning outcomes, helping translate data-sets into use cases that add true business value.


SELECTION CRITERIA:

Mandatory Criteria:

  • Demonstrated high level experience as a Data Scientist/Developer in large and complex, enterprise environments (preferably with Federal Government organisations).
  • Demonstrated strong ability to build Natural language processing / Deep neural networks and other forms of Machine Learning / Artificial Neural Networks.

Weighted Criteria

  • Proven technical / development skills in Python (or equivalent Machine Learning programming language).
  • Demonstrated experience working within teams exchanging ideas and can convey complex information clearly and concisely.
  • Demonstrated exceptional academic background, ideally in machine learning technology fields.
  • Advanced analytical and problem solving skills.

 

RFQ no.: RFQ2017-0195 Data Scientist

Contract length: Initial contract till June 2018 + 2x12 months extension option

Closing date: 8.00am Wednesday 15th Nov 2017

Contact: Jasmeet Narula

T +61 2 6279 7170; D +61 2 6279 7173
jasmeet.narula@mtr.com.au


Vacancy of Senior Research Scientist in Data Analytics, Data61, CSIRO, Sydney, Australia

posted Oct 5, 2017, 7:20 PM by Yanchang Zhao   [ updated Oct 5, 2017, 7:28 PM ]

Senior Research Scientist

URL: https://jobs.csiro.au/job/Sydney%2C-NSW-Senior-Research-Scientist/428894500/

 • Undertake innovative research in the area of Data Analytics

• Use your expertise in machine learning or data mining to solve real-word problems!

• Join CSIRO Data61's team, the largest data innovation group in Australia

 

The Position 

At Data61 we are bringing together exceptional people from research and industry to create the largest data innovation group in Australia.  Data61’s Analytics Research Group delivers innovative data analytical solutions for industry, and currently has an opportunity for an experienced senior research scientist in the field of machine learning and/or data mining.

As the successful candidate you will join an award-winning team and benefit from interactions with Data61’s world-class researchers.  You will perform various data analytics related to infrastructure and asset management as outlined below.

Under the direction of the Principal Research Scientist you will:

 • Develop algorithm, interface, and system for intelligent infrastructure/asset management.

• Research on data analytics and related topics for infrastructure and asset management.

• Conduct data pre-processing, analysis, and other necessary tasks related to the research problem.

• Communicate effectively and respectfully with all staff, clients and suppliers in the interests of good business practice, collaboration and enhancement of CSIRO’s reputation.

• Work as part of a multi-disciplinary, often regionally dispersed research team, to carry out tasks under limited direction in support of scientific research.

• Work collaboratively with colleagues within your team, the business unit and across CSIRO, to reach objectives.


Location:             Eveleigh, NSW

Salary:                 CSOF6 - AU $109K - $128K plus up to 15.4% superannuation

Tenure:                Specified term of 3 years

Reference:           46943

Closing date:        Applications will remain open until filled.

 

Pre-Requisites:

Education/Qualifications: A doctorate and or equivalent research experience in a relevant discipline area, such as Machine learning and Data Mining.

Communication: Excellent written and oral communication skills, evidenced by high-level reporting, presentation and negotiation abilities, and the capacity to identify and influence critical stakeholders to gain support for contentious proposals/ideas.

To be successful you will need:

Experience in conducting research projects either within universities or within an industry based research lab.

Excellent research record evidenced by quality publications in high impact Machine Learning, AI, Data Mining conferences and journals.

Proven track-record of contributions towards industrial innovation.

Experience in (co-)supervising PhD students or research staff in research projects and high-quality publications.

Good programming skills using Python, Matlab, or similar program.

A significant record of science innovation and creativity plus the ability to apply well developed research skills to scientific investigations.


Desirable criteria:

Experience with one or more of the following:

o Bayesian nonparametrics

o nonhomogeneous stochastic process

o large scale data mining/processing/inference

Experience with dynamic processes/networks, or spatial-temporal data.


How to Apply:  Please upload one document only containing both your CV/Resume and cover letter providing enough information relevant to this position to enable the selection panel to determine your suitability.  If your application proceeds to the next stage you may be asked to provide additional information.

 Please view the full position details and instructions on how to apply here:  http://www.csiro.au/~/media/Positions/2017/Data61/46943_Senior_Research_Scienist_Data_Analytics_CSOF6_PD.docx

About the Commonwealth Scientific and Industrial Research Organisation (CSIRO)

http://www.csiro.au/

PhD Scholarships in Data Science and Analytics, Canberra, Australia

posted Sep 23, 2016, 12:37 AM by Yanchang Zhao   [ updated Sep 23, 2016, 12:37 AM ]

There are three PhD scholarships for undergraduate students who are seeking for an opportunity to pursue an advanced study on the National Health Data.

The scholarship is funded from the ARC-linkage project titled ‘Cohort Discovery and Activity Mining for Policy Impact Prediction’.

Industry Partner: Commonwealth Department of Health
Admin Organisation: University of Technology Sydney (UTS)

Requirements:
1)     Australian Citizen;
2)     First class honours (or master by research) in computer sciences or associated discipline (Second class honours division 1 with exceptional circumstances);
3)     Candidates will be subject to a baseline security clearance (supported by the Department of Health);
4)     Proficient in database management and programming.

Location:  PhD candidates will be working at the Department of Health in Canberra within the Health Analytics Branch for the duration of their candidature.

Key Contact:
Prof Chengqi Zhang & Dr Guodong Long, Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney.

For further information and how to apply:
https://www.uts.edu.au/research-and-teaching/our-research/quantum-computation-and-intelligent-systems/studying-us

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