Data Scientist - Python, Devops, Geospatial

Hitech Personnel; Canberra; On-site; AUD 83,000 - 165,000; Full time

Job summary

HiTech Personnel is seeking a Data Scientist to design and implement scalable data science workflows for a federal program across multiple Australian locations. The role focuses on Python development, geospatial processing, and cloud/DevOps practices in a fast-paced, agile setting.

The successful candidate will contribute to geospatial data pipelines, collaborate with science stakeholders, and deliver high-quality, well-documented code for robust, reusable solutions in both supercomputing and

Qualifications

• Knowledge, experience, and/or qualifications in coding and software development (ideally Python, Fortran).
• Experience in image processing and classification using remote sensing algorithms and/or ML techniques with optical and/or SAR data.
• Experience with DevOps practices (CI/CD and infracode) and cloud computing (AWS preferred).

Responsibilities

• Develop projects to implement solutions within an agile work environment.
• Integrate geospatial information systems, data pipelines and processing techniques for supercomputing and cloud environments.
• Develop and maintainable and well-documented Python code, ensuring high quality across the team.
• Communicate technical issues to a wide audience, including a technical lead, program manager, other project members and science stakeholders.

Skills

Python

Fortran

Geospatial analysis

Machine Learning

CI/CD

AWS

Cloud computing

Remote sensing

Tools

xarray

pandas

NumPy

Job description

Data Scientist - Python, DevOps, Geospatial

Multiple locations – QLD, ACT, NSW, VIC, SA

A high profile Federal Government Agency is looking to engagean experiencedData Scientist to develop and implement scalable data science workflows to deliver robust and operational products within high performance cloud computation environments. The successfulData Scientist will be offered aninitial 6 month contract with the view to be extended and receive a rewarding hourly rate.

TheData Scientist will be responsible for but not limited to;

Develop projects to implement solutions within an agile work environment.

Integrate geospatial information systems, data pipelines and processing techniques that work in both supercomputing and cloud computing environments.

Develop and contribute to maintainable and well documented python code, and ensure high quality is maintained across the team.

Communicate technical issues to a wide audience, including a technical lead, program manager, other project members and science stakeholders.

TheData Scientist will have experience in the following:

Knowledge, experience and/or qualifications in coding and software development (ideally Python, Fortran).

Experience in image processing and classification using remote sensing algorithms and/or Machine Learning techniques with optical and/or synthetic aperture radar (SAR) remotely sensed data.

Experience with DevOps practices (CI/CD and infracode) and cloud computing (preferably in an AWS environment).

Experience in geospatial analysis, ideally using packages such as xarray, pandas, NumPy & services.

This is an exciting opportunity for experiencedData Scientist looking to join a large Federal Government program. The successful Data Scientist will be offered an initial 6 month contract with the view to be extended and receive a rewarding hourly rate.