Job title: Lead Data Scientist
Job type: Contract
Emp type: Full-time
Pay interval: Hourly
Pay rate: negotiable
Job published: 22/04/2025

Job Description

Job Title: Lead Data Scientist

Security Clearance: TSPV

Duration: Initial 12 months with 1 x 12-month extension

Industry: Information Technology

Functional Expertise: Data Science and Analytics

Sub-functional Expertise: Data Modelling, Visualisation, Software Development

Location of work: ACT

Working arrangements: Candidates are required to work onsite.

Closing date: 9AM Monday, 28 April 2025

Description:

Our client is seeking a Lead Data Scientist to apply advanced analytics techniques and scientific principles to support decision-making, strategic planning and other business applications. The role requires proficiency in data science methodologies and tools, as well as a deep understanding of data management frameworks and ethical considerations.

Responsibilities:

  • Conduct analysis to define and solve complex data problems using various sources.

  • Apply Artificial Intelligence, machine learning, and predictive analytics for problem-solving and modelling.

  • Create and maintain test data, scenarios, and testing plans.

  • Advise on data generation, analysis methods and outcome interpretation.

  • Ensure ethical use of data and compliance with legislation and policy frameworks.

  • Manage data-related risks, balancing privacy/security with data utility.

  • Build relationships and engage stakeholders to deliver data-driven solutions.

  • Resolve issues using sound judgement and professional expertise.

  • Mentor less experienced team members and share technical knowledge.

  • Stay current on data domain knowledge and emerging trends.

Requirements:

  • Proficiency in Machine Learning, data classification, clustering, data mining, and data visualisation.

  • Experience with Python, ElasticSearch, Linux, and Apache NiFi.

  • Familiarity with Australian policy and regulatory frameworks for data.

Key Capabilities:

  • DTAN 4 – Data Modelling

  • DATS 5 – Data Science

  • VISL 4 – Data Visualisation

  • PROG 3 – Programming/Software Development

Essential Criteria:

  • Data modelling and design (Level 4 - SFIA): Investigates enterprise data requirements with some complexity and ambiguity. Plans modelling/design activities using suitable techniques. Guides others in use of data structures and components.

  • Data science (Level 5 - SFIA): Plans and drives all stages of data science/analytics solution development. Provides expert advice, chooses data sources and techniques, and reviews tool value and application. Contributes to related policies and standards.

  • Data visualisation (Level 4 - SFIA): Uses various visualisation techniques to design and automate content delivery. Selects appropriate methods and contributes to visual experimentation.

  • Programming/software development (Level 3 - SFIA): Designs, tests, and documents moderately complex programs/scripts. Applies standards, reports progress, and resolves development issues. Participates in code reviews.

How to apply:

Please submit your application including your resume and a completed application form addressing the essential criteria. Ensure your application highlights your experience and any relevant certifications.