In-Demand Scrum master remote Jobs in Sydney Nsw

Data Scientist
AI Talent —Barangaroo NSW
- $70,000 - $120,000 a year
- 8 hour shift
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Work from home
Quick Apply
Senior Data Engineer
Data Prowess —Sydney NSW
- $110,000 - $120,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick Apply

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Data Scientist

AI Talent
Barangaroo NSW

Quick Apply

Job Details

Permanent | Full-time
$70,000 - $120,000 a year

Benefits

Visa sponsorship
Work from home
Opportunities for promotion

Qualifications

Power BI
Data modelling
Azure
Data mining
Doctoral degree
Computer vision
Deployment
NumPy
AWS Certification
Tableau
Master's degree
SQL
AWS
Analysis skills
Presentation skills
Bachelor's degree
Machine learning
Data management
Natural language processing
Scrum
Agile
AI
Communication skills
Analytics

Full Job Description

We are looking for a curious and analytically driven Data Scientist to join our team and transform complex datasets into actionable insights that inform strategic decision-making. This role sits at the intersection of mathematics, statistics, programming, and business intelligence, requiring a candidate who can build and deploy sophisticated analytical frameworks including machine learning and AI solutions. The ideal candidate is a collaborative problem-solver with strong communication skills, capable of translating data-driven findings into clear recommendations for both technical and non-technical stakeholders.

Key Responsibilities

Collect, prepare, and clean large datasets for analysis, identifying and resolving data anomalies, inconsistencies, and quality issues to ensure analytical integrity
Apply advanced analytical techniques drawing on mathematical, statistical, programming, and database skills to extract meaningful insights from structured and unstructured data
Design, build, and deploy machine learning and artificial intelligence frameworks that support automation, prediction, and pattern recognition across business functions
Develop, evaluate, and iteratively refine statistical models and algorithms to uncover trends, forecast outcomes, and generate actionable insights
Collaborate with cross-functional teams to understand business objectives and translate them into clearly defined data science problems and analytical solutions
Present data-driven findings, visualisations, and recommendations to key decision-makers and stakeholders in a clear and compelling manner
Contribute strategic input and innovation to the organisation's data science roadmap, identifying opportunities to leverage data for competitive advantage
Maintain and document data pipelines, modelling processes, and analytical methodologies to ensure reproducibility and knowledge sharing across the team
Monitor and assess the performance of deployed models, implementing updates and improvements as required to maintain accuracy and relevance
Support data governance and ensure compliance with data privacy regulations and organisational data management policies

Required Qualifications & Skills

Bachelor's degree or higher in Data Science, Statistics, Mathematics, Computer Science, or a related discipline
Demonstrated experience in a data science or advanced analytics role, with a portfolio of applied projects
Proficiency in programming languages such as Python or R, with experience in data manipulation libraries (e.g. pandas, NumPy) and machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch)
Strong understanding of statistical modelling, machine learning algorithms, and data mining techniques
Experience working with large datasets and familiarity with SQL and database querying
Ability to develop and evaluate predictive models, performing validation, tuning, and performance assessment
Proficiency in data visualisation tools such as Tableau, Power BI, or equivalent libraries (e.g. Matplotlib, Seaborn)
Strong analytical thinking with the ability to translate complex findings into clear, business-relevant insights
Excellent verbal and written communication skills, with experience presenting to non-technical audiences
Ability to manage multiple priorities, work independently, and contribute effectively within a collaborative team environment

Preferred Qualifications

Postgraduate qualification (Master's or PhD) in a quantitative or data-related field
Experience with cloud platforms such as AWS, Azure, or Google Cloud, particularly for model deployment and data storage
Familiarity with MLOps practices and tools for model versioning, monitoring, and deployment pipelines
Knowledge of natural language processing (NLP), computer vision, or other specialist machine learning domains
Experience working within Agile or Scrum delivery frameworks
Relevant industry certifications in data science, machine learning, or cloud computing (e.g. AWS Certified Machine Learning, Google Professional Data Engineer)
Prior experience in a relevant industry sector such as finance, healthcare, retail, or government

Why Join Us?

Be part of a forward-thinking team that places data and innovation at the core of strategic decision-making, giving you meaningful impact from day one
Access ongoing professional development opportunities, including support for further study, certifications, and attendance at industry conferences
Enjoy a flexible working environment with hybrid arrangements that support a healthy work-life balance
Competitive remuneration package with superannuation and opportunities for performance-based progression
Collaborative and inclusive workplace culture that values diverse perspectives and encourages knowledge sharing

Job Details

Job Type: Full-time, Permanent
Work Schedule: 8-hour shift
Salary: $70,000 – $120,000 per year + Super

Job Types: Full-time, Permanent

Pay: $70,000.00 – $120,000.00 per year

Benefits:

Work from home

Application Question(s):

Are you currently in Australia?
Are you looking for visa sponsorship?
How many years of experience do you have?

Work Location: Hybrid remote in Barangaroo NSW 2000

Quick Apply

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