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Senior Data Science

Mutinex
Chippendale
Experience1-3 years
Salary Not disclosed
LocationChippendale
Job TypeFull time
Skills: Machine Learning Python PyTorch
Job Description
Job Title: Senior Data Science Company: Mutinex Job Category: Machine Learning Roles & Responsibilities: ### What’s the role? With a special focus on model and data product development and marketing science, you will take charge of our models in finding ways to improve robustness and learning of causal relationships. You will also support and lead the scalable and automated deployment of our models and data products for new customers. * Development of machine learning models as a product, with a critical focus on quality and customer success. * Development of novel models and data products. * R\&D POC work using contemporary developments in ML, AI, and statistics. * Writing: creating documentation for both data science and non\-technical stakeholders; providing a data science lens on insights and outputs from the model, processes, and data products. We’re improving a multibillion dollar industry with product technology that is disrupting the status quo of consulting based approaches to marketing mix modelling. Although it’s early days, we’re well positioned to win. We’ve got brilliant people, a market leading product, and we are regularly closing household name customers on the strength of our product in the market. Work Location: Chippendale, NSW, Australia Availability: Full time
Requirements
We are expanding our team and welcoming experienced talent to collaboratively build our globally used and transformative marketing measurement product suite \- GrowthOS, DataOS, MAITE. Required qualifications * Expertise in Bayesian Statistics. * Experience working with multivariate time series data. * Experience implementing statistical inference algorithms (e.g., particle\-filters, variational inference). * Solid understanding of fundamental mathematics for statistics and machine learning \- probability theory, linear algebra, and calculus. * Machine learning fundamentals. * Bachelors/Masters/PhD in statistics, data science, or comparable quantitative degree \- e.g. Engineering, Science. Key Skills: Machine Learning, Python, PyTorch Salary: Not disclosed
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