Data Scientist

Cover Genius157 days ago
Sydney, AU
Cover Genius

About this job

Job type: Full-time
Experience level: Mid-Level
Role: Data Scientist
Industry: Computer Software, Financial Technology, Insurance
Company size: 51-200 people
Company type: Private


sql, python, machine-learning, statistics

Job description

Job Description

We’re seeking a data scientist to help us take our BrightWrite product to the next level. BrightWrite is the brain behind all CoverGenius' products, it is the powerhouse behind our experimentations, pricing optimisations and product recommendations. 

BrightWrite is used both internally and by our external partners. As a data scientist, you should be comfortable talking about probability distributions, you "probably" have a strong opinion on the Frequentists vs. Bayesian debate. You have a few years of experience working with Machine Learning systems and understand the ins and outs of the algorithm (not just how to use the tools). You can query SQL to find insights from our dataset and form hypotheses.

Given Cover Genius’ global recognition, excellent track record, and hockey stick growth, this role presents significant opportunities for the right candidate. We are looking for self-starters that are passionate about new technology and innovation. People that have a “can do” attitude and who work well within startup environments where needs and roles can change quickly. Needless to say, we are not your average insurance company!


Must haves

  • Practical, hands-on experience with a variety of Machine Learning and statistical testing techniques

  • Master's or PhD in Physics, Statistics, Mathematics, Computer Science or other Quantitative fields

  • Production level experience with experiment design and A/B testing

  • 5+ years of experience in manipulating data sets using Python & SQL and building statistical models

  • Strong problem-solving skills with an emphasis on product delivery

  • Great communication, be able to tailor explanations of statistical concepts to a variety of audiences

  • Quick learner, welcomes new challenges and is not afraid to push the boundaries.

Nice to have

  • Revenue Management methods in real applications

  • Deep knowledge of data warehousing and running ETL

  • Experience with Recommender systems

Additional Information

In return, we offer an inclusive, supportive and extremely high performing environment with flexibility, plenty of benefits and a company journey that you want to be on! We also know that different blends of the above experiences and skillsets could translate to the best person for the role and so if you think you have the best composition of the above, send us your Cv and let's chat!


9 Barrack Street Sydney, AU

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