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Senior/staff Data Scientist
1 month ago
We are expanding our team and welcoming experienced talent to build collaboratively our globally-used and transformative marketing measurement product - Growth OS.
We empower marketers by helping them to understand the value of their past decisions and the impact of future marketing spend.
With offices in both Melbourne and Sydney, we encourage you to work in the way that maximises your performance.
Please note - this role can be based from either Sydney or Melbourne.
The role We are looking for a Senior/Staff Data Scientist to help grow our uniquely positioned Bayesian model stack.
With a special focus on model development and marketing science, you will take charge of our models in finding ways to improve robustness and streamlining our parameter space.
You will also support and lead the deployment of our model for new customers, working with enablement teams and domain experts to improve explainability.
In the long term, you will help drive automation improvements by collaborating with engineers to improve reuse and deployment of features/data signals.
As a fast growing startup, your work will help refine our data platform by refining its engine: our state of the art marketing investment model.
Improving our model and library of features will directly contribute to our growth.
The mission of our data science squad is to be the central nervous system of Mutinex.Day to day Become an expert in our models, improving performance across new verticals/complex datasets.Rapidly iterate and test different model formulations on accuracy and causal integrity.Create new model outputs to help generate insight, owning features that will be used by world-class companies to make key business decisions.Develop automated feature extraction methods to create useful signals.Excellent Python skills; we are all about production-ready data science.Writing: improving our documentation for both data science and non-technical stakeholders; provide data science lens on insights and outputs from the model.
What we are looking for 4+ years of experience with Python, R or Julia (Python preferred) in machine learning contexts.SQL proficiency.Expertise in Bayesian Statistics.Demonstrable experience in developing performant models; published code on Git Hub.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/Ph D in statistics, data science, or comparable quantitative degree.
Why you should join us 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.
As a technology driven data science company we recognise that excellence in engineering will provide an edge that allows us to move faster and build richer more innovative products.
We're putting our money where our mouth is, and investing substantially in the quality of our codebase and platform, and holding a high hiring bar for engineers in our teams.
You'll also be joining a company that's harnessing the artificial intelligence and data science wave that is currently rolling through the industry.
Data is in our DNA, and we're positioned to join disruptive companies like Snowflake, Open AI, Fivetran, Amplitude, Segment, Monte Carlo that have garnered multi billion dollar valuations.
As we grow there'll be an opportunity to share in the wealth upside with equity part of your package.
The opportunity to work in a data science product company in Australia is not to be passed over lightly.
We'd love to hear from you.
