Senior Data Scientist

Found in: Talent AU C2 - 3 weeks ago

Barangaroo, Australia Nearmap Full time

Job Description

A typical day will look like this:

Participation in the design and scoping of greenfield projects. Brainstorm, implement and deliver end-to-end solutions to complex technical. problems— typically starting with spike sessions, followed by the architectural design, iteration on the solution, measuring quality, and ultimately deploying to production. Participate in technical discussion and provide feedback.

We are looking for:

Programming/Tech Environments: Ability to code in scientific python, using a Linux environment, and git for source control.  Commitment to software engineering principles for scientific python, a keen eye for clean code, and a passion for robustness and correctness. Domain Knowledge – Computer Vision: Working on Machine Learning problems related to computer vision applications. Deep Learning: Applying modern artificial neural networks to solve real-world machine learning problems using GPUs.

Nice-to-haves:

Experience with optimisation.  Experience with deep learning for 3D modelling.

Personal attributes:

While extensive knowledge of theory and best practices are highly valued, pragmatism wins over elaborate theory when it comes to shipping products that work. Data science is a team sport; communicate well, share knowledge, and be open to taking on ideas from anyone in the team. Showing attention to detail when it counts is important; to be considered for this role, and apply some basic data science skills.

Qualifications

Formal education in a field related to machine learning, deep learning or optimisation.

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