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Expert data analyst and computational problem designer

Perth
beBeeDataScience
Designer
Posted: 30 November
Offer description

Job Opportunity

We are seeking a highly skilled Freelance Data Science Specialist to collaborate with our team on designing original computational data science problems.


Responsibilities

1. Design and develop complex data science projects that simulate real-world analytical workflows across various industries.
2. Create computationally intensive problems requiring Python programming skills, utilizing libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn.
3. Ensure problems are challenging and cannot be solved manually within reasonable timeframes, promoting creative problem-solving and critical thinking.
4. Develop deterministic problems with reproducible answers, avoiding stochastic elements or requiring fixed random seeds for exact reproducibility.
5. Base problems on real business challenges, focusing on customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
6. Design end-to-end problems spanning the complete data science pipeline, from data ingestion to deployment considerations.
7. Incorporate big data processing scenarios requiring scalable computational approaches.
8. Verify solutions using Python with standard data science libraries and statistical methods.

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