Senior/Staff Data Scientist
About Us
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 are expanding our team and welcoming experienced talent to build collaboratively our globally-used and transformative marketing measurement product - GrowthOS.
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 GitHub
- 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
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, OpenAI, 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.
About Mutinex
We might be an early stage startup but we already have strong product market fit, household name clients (Samsung, Mars, CUB and ING to name a few) and millions in revenue.
Being early stage means we're also still pretty scrappy and you wouldn't be coming into a well oiled machine, yet. But you would get a lot of opportunity to design, build and oil the machine until it's super oily.
We aren't aiming to be another Tech Unicorn because Unicorns aren't real. We are aiming (and confident of being) more like a real and really big animal that lives for a long time, like a Bowhead Whale.
Mutinex is a startup B2B SaaS platform that provides in-depth data analytics for marketers to better understand their ROI and make better decisions with future spend.
Being early stage means we're also still pretty scrappy and you wouldn't be coming into a well oiled machine, yet. But you would get a lot of opportunity to design, build and oil the machine until it's super oily.
We aren't aiming to be another Tech Unicorn because Unicorns aren't real. We are aiming (and confident of being) more like a real and really big animal that lives for a long time, like a Bowhead Whale.
Mutinex is a startup B2B SaaS platform that provides in-depth data analytics for marketers to better understand their ROI and make better decisions with future spend.
Founded in Australia, we've hit millions in ARR & have seed funding ($5 million in May 2023 & $9.5 million in October 2023 backed by EVP) that we'll use for growing our team to continue to improve our product, bring in new customers and enable them to make better and more informed decisions.
We have a hybrid work environment with teams in Sydney, Melbourne and expanding into the US.
With a team of around 60 people we value high quality communication, strong opinions that are held loosely and people who can give and take feedback well.
Equity (ESOP) is offered to all staff on top of their salary and we also offer additional annual leave after 1 year of tenure (from 20 to 25 days a year) that continues to grow another day each year of service until you max out at 30 days per year.
Our Hiring Process
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