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Data Platform Evolution Strategist
3 weeks ago
We are seeking a seasoned professional to drive machine learning innovations and contribute to the evolution of our data platform. The ideal candidate will design and develop machine learning models, build scalable data pipelines, and leverage AI to enhance core product functionality.
Key Responsibilities- Develop, evaluate, and deploy machine learning models (supervised, unsupervised, reinforcement learning).
- Build, train, and validate propensity models to predict customer behavior, conversions, or churn.
- Work with large-scale data platforms to manage high-volume pipelines.
- Collaborate with engineering teams to productionize models in cloud environments.
- Apply advanced analytics to generate business insights.
- Masters/PhD in Computer Science, Statistics, Data Science, or related field.
- 7+ years' experience in data science and machine learning.
- Strong coding skills in Python and SQL.
- Hands-on experience with ML frameworks.
- Experience with cloud platforms and big data tools.
- Proven ability to productionize machine learning models.
- Strong communication skills to work with stakeholders.
- Flexible working hours with remote options.
- Opportunity to define the company's data strategy and processes.
- Supportive, inclusive, and growth-focused culture.
- Direct influence on the success of a growing SaaS product.
Melbourne, Victoria, Australia