Nearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries forward.

Harnessing its own patented camera systems, imagery capture, AI, geospatial tools, and advanced SaaS platforms, Nearmap stands as the definitive source of truth that shapes the livable world.

Our Data Science team designs, prototypes and develops machine learning products using Nearmap imagery data. As a Senior Data Scientist, you'll own the statistical performance of our commercially released models—training, validating, identifying issues related to anticipated use cases, and solving problems through retraining, modelling techniques, labelling and sampling approaches.

While our Machine Learning Engineers focus on architecture, design and implementation of ML tooling and pipelines, you'll be accountable for the quality and suitability of the models and predictions those tools produce.

What You'll Do

• Establish and drive a coherent program of data science projects in the modelling space
• Take ownership of project relevance and outcomes across your program of work
• Supervise and support other data scientists contributing to modelling initiatives
• Provide technical leadership while fostering a culture of learning, professional development, collaboration and business value

Required

• Formal postgraduate qualifications in data science (Masters/PhD) or demonstrated equivalent depth of knowledge
• Practical experience delivering end-to-end data science projects that meet business goals
• Strong coding ability in scientific Python within a Linux environment, using git for source control
• Solid grasp of machine learning fundamentals including regularisation, hyperparameter optimisation and validation methods
• Scientific rigour in formulating hypotheses and applying statistical tests to validate them

Highly Desirable

• Experience with computer vision and geospatial data in machine learning contexts
• Software engineering skills for contributing production-quality code to shared codebases
• Cloud computing experience (AWS or GCP) using distributed virtual machines and containerisation
• Deep learning expertise applying modern neural networks to ML problems
• Experience working at scale with large datasets requiring distributed computing

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!)
• Work from Anywhere policy for up to 4 weeks each year
• Stocked kitchen with access to all the snacks you need
• In-office catered 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.

At Nearmap, we embrace a flexible hybrid approach that empowers teams to determine what works best for them. Rather than mandating specific office days, we trust our teams to collaborate with their managers and decide when in-person time adds the most value.

This means you'll have the flexibility to balance remote work with office collaboration in a way that suits your role, your team, and your life. There are no company-wide mandatory office days, giving you the autonomy to work where you're most productive while staying connected with your colleagues.
If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch. 

Nearmap AI

• Read the product documentation for NearmapAI:  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

Note to agencies: Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.