Data Scientist

Faculty

. Work closely with clients and cross-functional teams to define project scope, ensure technical feasibility, and drive delivery excellence .

Posted 11/9/2026full-timeSydney • AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering bespoke data science solutions, with strong proficiency in Python, NumPy, and deep-learning frameworks like TensorFlow or PyTorch. Capable of translating complex business problems into mathematical frameworks while ensuring high standards of delivery and client engagement.

Highest-signal resume keywords

Data Science Solutions DesignPython ProgrammingTensorFlow or PyTorch ProficiencyMathematical and Statistical CompetenceExceptional Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingNumPy ProficiencyPandas ProficiencyDeep-Learning FrameworksSupervised LearningUnsupervised LearningTime-Series AnalysisNatural Language ProcessingModel ValidationAlgorithm Innovation

Soft Skills

Exceptional Communication SkillsScientific MindsetEntrepreneurial Mindset

Industry Keywords

Data ScienceTechnical FeasibilityProject ScopingClient RelationshipsDelivery ExcellenceThought Leadership

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Work closely with clients and cross-functional teams to define project scope, ensure technical feasibility, and drive delivery excellence
Design and deliver bespoke data science solutions
Shape the technical direction of high-impact projects
Map end-to-end data science approaches and design associated software architectures
Drive technical scoping and feasibility assessments for new projects
Build strong client relationships as a technical advisor
Shape the direction of current and future engagements
Deliver bespoke algorithms and scalable software solutions following best practices for high-stakes decision-making
Set the technical bar for project teams and ensure code, rigour, and delivery quality standards
Contribute to Faculty’s thought leadership and reputation through teaching, public speaking, or open-source projects

Requirements

What you’ll need

Proven experience in a professional data science or quantitative academic role
High mathematical and statistical competence
Strong Python programming skills
Proficiency with NumPy and Pandas
Proficiency with a deep-learning framework such as TensorFlow or PyTorch
Solid grasp of supervised and unsupervised learning, time-series, NLP, and model validation
Ability to innovate new algorithms
Scientific and entrepreneurial mindset
Ability to translate complex business problems into mathematical frameworks
Ability to measure model impact upon deployment
Exceptional communication skills for technical and non-technical audiences
Ability to plan projects, assess technical feasibility, estimate delivery timelines, and achieve measurable outcomes

Benefits

Comp & perks

Open to conversations about part-time hours
Diverse and inclusive recruitment ethos
Human review of every application
Option to opt out of the AI interview note-taker (Metaview)