Skills and experience:
We're after exceptional candidates, who have real world experience but are eager to learn.
Essential:
- Demonstrated history working in a numerical field: e.g. computer vision, applied maths, physical sciences, geospatial analysis.
- Strong approach to systems thinking, whilst remaining pragmatic
- Commitment to software engineering principles for scientific python, a keen eye for clean code, and a passion for robustness and correctness.
- Working on shared codebases to produce production quality code.
- Data science is a team sport; communicate well, share knowledge, and be open to taking on ideas from anyone in the team.
- While extensive knowledge of theory and best practices are highly valued, pragmatism wins over elaborate theory when it comes to shipping products that work.
Highly Desirable:
- Working with large data sets, where data doesn’t fit into memory, and requires multiple nodes to compute efficiently.
- A scientific mindset of formulating hypotheses, and applying statistical tests to validate them.
- Working in a cloud-native environment using highly scalable compute.
- Experience with operationalizing numerical applications and workflows.
Formal education in a field related to numerical science (Bachelor’s degree in computer science, engineering, statistics, physics, etc.). Applicants with a Masters/PhD will fit in well within the team, but are by no means necessary — we’re more interested in what you can do!
Some of our benefits
Nearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include:
- Quarterly wellbeing day off - Four additional days off annually for your 'YOU' Days
- Access to LinkedIn Learning
- Wellbeing and technology allowance
- Annual flu vaccinations
- Hybrid flexibility for this role
- Nearmap subscription (of course!)
- Stocked kitchen with access to all the snacks you need
- In-office lunch every Tuesday and Thursday at our Sydney CBD office
- Showers available for anyone cycling to work or lunchtime gym-goers!
Working at Nearmap
We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.
If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch.
Read the product documentation for Nearmap AI:
https://docs.nearmap.com/display/ND/NEARMAP+AI
For a deep dive into Nearmap AI, listen to AI Systems Senior Director Mike Bewley on the Mapscaping podcast https://mapscaping.com/blogs/the-mapscaping-podcast/collecting-and-processing-aerial-imagery-at-scale
