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Data Scientist
1 month ago
- Strong focus on Mathematics / Stats background
- Impactful work in a market leading data team
- Hybrid work - 2 days in office, 3 days WFH typical
We are currently recruiting a Data Scientist for an advanced ML and Data Science team based in Sydney. For this specific hire - we are targeting someone who has a strong academic background (Bachelor, Masters or PhD) in Applied Mathematics and/or Statistics. Use of Mathematical Optimisation techniques is advantageous.
In this role, you will work with some outstanding data science and engineering peers, often in cross-functional squads. Your work will include a mixture of mathematical optimisation for logistics / routing challenges and predictive modelling and data science.
Location and work set-up: Sydney CBD location with hybrid work split of 2-3 days in office / work- from-home per week.
Required Skills & Experience:
- An academic background in statistics, mathematics, actuarial studies at the Bachelor, Masters or PhD level
- Minimum of 2 years (ideal would be 4-5 years) of professional data science experience (excluding academic and research work)
- Strong skills using SQL and Python (including major ML libraries) with large commercial datasets, including production-grade code
- Experience working from end-to-end in data science; stakeholder engagement, data exploration, data management, research, model selection, feature engineering, model building, testing, optimising & deployment (some ML Ops)
- You must have full unrestricted working rights
Beneficial Experience (not mandatory but likely to help you succeed):
- Expertise in Mathematical Optimisation techniques and algorithms
- Specific experience working in logistics, delivery or modelling for routing problems
- ML Ops skills / production ML experience: e.g. Kubernetes, VertexAI, CI/CD ML pipelines, any realtime pipelines / analytics experience
Style of Data Science work:
- You’ll enjoy being part of a huge community of top-tier Data Scientists, Machine Learning Engineers, Data Engineers and professionals, but day-to-day, work in agile cross-functional squads where you will likely be the main data scientist alongside developers, testers, analysts and business stakeholders.
- This team has a very significant track-record of production ML at scale (GCP and Spark cluster, mature ML Platform) – with the focus of delivering huge benefits ($100m +) to the business and millions of customers
- You will enjoy staying at the cutting edge of ML, but also make pragmatic decisions weighing both business and engineering trade-offs for designing the ‘best solutions’
- You will spend 10%-20% of your time on commercial research in fields of ML, AI, Data Science for new innovation use cases
Salary Range:
The salary range is: $110K-$130K base + 11.5% Super + 15% Bonus ( $139K - $164K total package, depending on experience)
At this stage, we are only able to consider applicants with full Australian working rights.
