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Back in the late nineties, when statisticians apparently decided coding was cool, R emerged as a sort of open-source rebellion against the expensive, proprietary statistical packages dominating the landscape. It promised a flexible environment for data analysis, visualization, and, let’s be honest, a frankly alarming degree of customizability. The reality? It’s a bit like building a car from spare parts – incredibly powerful if you really know what you’re doing, but prone to unexpected breakdowns and requiring constant tinkering.

Compared to Python, which has become the darling of the machine learning crowd, R remains stubbornly focused on statistical computing. While Python strives for general-purpose dominance, R happily wallows in its niche, beloved by academics, biostatisticians, and anyone who enjoys wrestling with package dependencies. It’s still surprisingly relevant, powering much of the statistical rigor behind everything from clinical trials to financial modeling. Though one suspects many users are still running code written on floppy disks.

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data scientist

Senior Data Scientist, ANZ @ airwallex

AU | 2025-12-28
Airwallex seeks a data scientist with over five years' experience and expertise in forecasting, SQL, Python or R, and data architecture tools like Airflow, Databricks, and dbt. The role's... read more »
Management, AI/ML, Data Science, Go, Marketing, Data Engineering, Computer Science, SQL, Python, R, Airflow, Databricks, dbt, Oracle
data scientist

IBM Promontory, Principal Consultant @ ibm

AU | 2025-12-27
A Principal role at IBM Promontory Australia involves managing risk, regulatory, and compliance projects with a focus on non-financial risk and AI governance. The position boasts the... read more »
IBM, Management, AI/ML, Analytics, Data Governance, VBA, SQL, Data Analytics, Alteryx, R, Python
promoted

BigQuery Cost Optimization Guide by Masthead Data

The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...

data scientist

Senior Data Scientist, Algorithm (Relo to SF) @ airwallex

AU | 2025-12-26 | USD 150000 - 250000 / year
Airwallex seeks a Senior Data Scientist to partner with Marketing, developing predictive models and applying machine learning to improve business outcomes. The role offers a notable differentiator... read more »
Management, AI/ML, Marketing, Data Science, GTM, PhD, Computer Science, SQL, Python, R, Data Modelling
data scientist

Senior Data Scientist, Analytics (Relo to SF) @ airwallex

AU | 2025-12-26 | USD 150000 - 250000 / year
Airwallex seeks a senior Data Scientist to analyze marketing data, develop reports, and influence strategy through insights. The differentiator is the role’s involvement in building organizational... read more »
Management, AI/ML, Marketing, Data Science, KPI, PhD, Computer Science, Analytics, SQL, Python, R, Data Modelling, Google Analytics
data scientist

Positional Options Trader @ optiver

AU | 2025-12-25
Optiver seeks a Senior Positional Trader to enhance its pricing, execution, and risk management capabilities. The role requires deep market knowledge, strong trading performance, and the ability... read more »
Management, Python, R
AU | 2025-12-24
This role is a high-impact, team-oriented position at a leading energy consultancy, offering opportunities to shape strategic decisions in the energy sector. The candidate must demonstrate both... read more »
Management, Data Analytics, Python, R, MATLAB, Excel, PhD, Aurora
promoted

O'Reilly Power BI Learning

Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.

data scientist

Manager - Actuarial, Climate Risk @ kpmg-australia

AU | 2025-12-23
KPMG seeks a manager with an actuarial or similar analytical background to lead climate risk quantification projects, leveraging geospatial probabilistic models and innovative technology. A key... read more »
Analytics, Data Science, Data Analytics, Python, R, SQL, Agile/Scrum