Transformative Marketing Analyst

1 day ago

Sydney, New South Wales, Australia beBeeDataModeler Full time $150,000 - $200,000
Lead Data Modeler

Mutinex is transforming the advertising industry by challenging traditional consulting-based approaches to Market Mix Modelling. We are expanding our team and welcoming experienced talent to build a globally-used marketing measurement product suite.

We empower marketers by helping them understand the value of past decisions and the impact of future marketing spend.

With offices in Sydney, Melbourne, and New York City, we encourage collaborative work that maximizes performance.

The Role

We are looking for a Lead Data Modeler to help grow our uniquely positioned model stack.

You will be responsible for finding ways to improve model robustness and streamlining parameter spaces. You will also support and lead the deployment of models and data products for new customers.

As a fast-growing startup, your work will refine our data platform by refining its engine: our state-of-the-art marketing investment models.

Day-to-day responsibilities include:

  • Automating model operations with a critical focus on quality and customer success.
  • Scaling modelling features that are useful for one customer to a pan-customer global context.
  • Development of novel model and data products.
  • R&D POC work using contemporary developments in machine learning, artificial intelligence, and statistics.
  • Excellence in software engineering observable resilient tested at every abstraction layer secure scaleable applications that can be deployed with CICD IaC complete with versioning of every layer.
Requirements

We're looking for someone with:

  • Deep knowledge of Python including standard library canonical best practices contemporary trends and multiple ML libraries.
  • SQL proficiency.
  • Knowledge in Bayesian Statistics.
  • Experience working with multivariate time series data.
  • Experience implementing statistical inference algorithms such as 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 or PhD in statistics data science or comparable quantitative degree e.g. Engineering Science.
Nice to Have

We'd love it if you had experience with:

  • Cloud computing including IaC GCP and Pulumi preferred but okay if strong in any cloud and IaC.
  • Working with multiple data stores relational OLAP object graph time-series key value etc.
  • Distributed data processing experience.
  • Experience with MLOps.

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