Senior Data Scientist

Overview Mutinex South Melbourne, Victoria, Australia Join to apply for the Senior Data Scientist role at Mutinex . 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 suite – GrowthOS, DataOS, MAITE. We empower marketers by helping them understand the value of their past decisions and the impact of future marketing spend. With offices in Sydney, Melbourne and New York City, we encourage you to work in the way that maximises your performance. What’s the role? We are looking for a Senior/Staff Data Scientist to help grow our uniquely positioned model stack. You will focus on model and data product development and marketing science, take charge of our models to improve robustness and streamline our parameter space, and support the scalable and automated deployment of our models and data products for new customers. As a fast-growing startup, your work will help refine our data platform by enhancing its engine: our state-of-the-art marketing investment models. Improving our models and data products will directly contribute to our growth. The mission of our data science team is to be the central nervous system of Mutinex. Day to day 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, scalable applications that can be deployed with CICD, IaC, complete with versioning of every layer. 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. Required qualifications 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). 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). Bonus qualifications Strong cloud computing background, including IaC — GCP and Pulumi preferred, but strong in any cloud/IaC is fine. Experience working with a multitude of data stores — relational, OLAP, object, graph, time-series, key value, etc. Distributed data processing experience. Experience with MLOps. Why Work With Us? Real Customer Impact: Your work directly shapes our platform and the success of our customers. Challenging, Meaningful Work: Tackle complex data and infrastructure problems at scale. Autonomy and Ownership: Drive initiatives end-to-end with support when you need it. Learning and Growth: Collaborate with a thoughtful team of engineers and data scientists who love what they do. Equity Ownership: All team members receive equity (ESOP). Parental Leave: 12 weeks paid leave for the primary carer, and 6 weeks for the secondary carer after 2 years. Generous Time Off: 20 days of annual leave to start, plus 5 extra days after your first year, and 1 additional day each year after that (up to 30). Work from Anywhere: Take your laptop and work from anywhere in the world for up to 6 weeks each year. Equality and Inclusion Mutinex is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants of all backgrounds, experiences, identities, and abilities. If you need adjustments or accommodations during the application process, just let us know, we’re happy to support you. #J-18808-Ljbffr