Provide support to the Technical Lead / “A” Camera Operator on shoot days and in the lead up to video production, operating the 2nd camera and assisting with data wrangling.
Responsibilities
Provide assistance to the Technical Lead / A Camera Operator to ensure the appropriate technical delivery of a variety of productions with varying complexity
Learn the setup of the studio and prepare to run technical days in the absence of the Technical Lead / A Camera Operator
Operate the 2nd camera on shoot days and assist with the bump-out and wrangle of data
Test equipment, where required, in consultation with the Technical Lead / A Camera Operator and ensure that it is up-to-standard and will fulfil the requirements of a variety of video productions
Work with the Technical Lead / A Camera Operator to adequately wrangle data on shoot days, ensuring that it is delivered to the standards and requirements of the post-production team
Requirements
Recent graduate of RMIT
Recent graduate of VCA
Recent graduate of Swinburne
Nice to have: Understanding of camera, lighting and sound set-up and execution
Data Scientist I responsible for developing and deploying analytical models to support business decisions.
Compensation
The base salary range for this role is $80,000 - $120,000
Responsibilities
Participate in the data science lifecycle from understanding the business problem, to data extraction, to model development, to production deployment and change management
Perform data extraction and wrangling, and conduct exploratory data analysis
Train and evaluate applied statistics and machine learning models, using open source and cloud based proprietary software
Develop deployment scripts for batch and real-time delivery of model output
Maintain deployed models by running and delivering model output and debugging scripts as needed
Requirements
Undergraduate degree in Statistics, Mathematics, Computer Science, or relevant field
A technical learning content developer who turns data science expertise into learning experiences that stick, building data science learning that powers workforce upskilling at enterprise scale.
Responsibilities
Develop courses, modules, labs, projects, and assessments for the data science domain against defined design requirements and learning objectives.
Author and test labs, notebooks, and projects end to end, ensuring datasets and environments are configured correctly and solutions are reproducible.
Build assessments and quizzes that measure skill acquisition, in line with LearnVantage learning standards.
Validate technical accuracy with SMEs and authors, keeping pace with changes in data science libraries, platforms, and practice.
Coach new authors and give pedagogical feedback from the learner’s perspective.
Requirements
Bachelor's degree or equivalent (minimum 12 years) work experience
Design, build, and maintain scalable analytics solutions that transform raw data into actionable insights, supporting strategic and operational decision-making.
Responsibilities
Assist in collecting, cleaning, transforming, and validating data from multiple sources
Perform exploratory data analysis (EDA) to identify trends, anomalies, and business insights
Develop and evaluate machine learning models for supervised and unsupervised learning tasks
Prepare datasets for statistical analysis and predictive modelling
Designing and maintaining semantic data models (star/snowflake schemas) optimized for analytics and reporting
Requirements
Bachelor’s degree in Computer Engineering or related fields
Master’s degree in Computer Engineering or related fields
Consultants on the AI & Data team help clients maximize the value of their data and automate business processes, implementing data analytics and data science from querying to visualization and predictive analytics.
Compensation
The annual salary range for this position is $98,000.00-$163,000.00.
Responsibilities
Design and development of data visualization and dashboard solutions to provide required analytics insights using Tableau
Leading and reviewing data cleaning scripts using tools such as Databricks, SQL, and Python
Maintain and enhance dashboards, analytics solutions, and reporting tools used in operational and strategic decision-making
Identify opportunities for workflow optimization, automation, and improved data handling, and contribute to implementation efforts
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions
Requirements
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related STEM field
Internship in Global Site Agreements supporting clinical research operations
Compensation
The salary range for this role is $39,908 - $111,111
Responsibilities
Partner with GSA and GCTO stakeholders to understand business processes, contracting activities, administrative needs, challenges, pain points, and opportunities for improvement.
Review, organize, and summarize business, legal, contracting, or operational information to support clear and practical recommendations.
Support process mapping, requirements gathering, documentation, standardization, and workflow redesign.
Identify opportunities to reduce manual activities, simplify workflows, improve controls, and strengthen the user experience.
Contribute to technology-enabled solutions, such as automation, dashboards, reporting, collaboration tools, or artificial intelligence use cases, where appropriate.
Requirements
Bachelor's or equivalent in science, technology, information systems, business/public administration, legal studies, pre-law, or related discipline
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