Mutinex is a data and marketing analytics startup transforming the multi-trillion-dollar advertising industry by challenging the traditional consulting-based approach to Market Mix Modelling. We empower marketers by helping them to understand the value of their past decisions and the impact of future marketing spend.
Requirements
- Strong Python - deep knowledge of the standard library, canonical best practices, contemporary trends, knowledge of multiple ML libraries.
- Strong principles in software engineering.
- Strong test-writing discipline.
- SQL proficiency.
- Expertise in Bayesian Statistics.
- Experience working with multivariate time series data.
- Experience implementing statistical inference algorithms (e.g., particle-filters, variational inference).
Responsibilities
- Automation of model operations, with a critical focus on quality and customer success.
- Scaling modelling features that are useful for 1 customer to a pan-customer global context.
- Development of novel model and data products.
- R&D POC work using contemporary developments in ML, AI, 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 - we are all about excellent production ready data science.
- Writing: creating documentation for both data science and non-technical stakeholders; provide data science lens on insights and outputs from the model, processes, model and data products.
Other
- We encourage you to work in the way that maximises your performance.
- Bachelors/Masters/PhD in statistics, data science, or comparable quantitative degree - e.g. Engineering, Science.
- Strong cloud computing background, including IaC - GCP and Pulumi preferred, but okay if strong in any cloud and IaC.
- Experience working with a multitude of data stores - relational, OLAP, object, graph, time-series, key value, etc.
- Distributed data processing experience.
