Company

VerisSee more

addressAddressMelbourne, VIC
type Form of workFull time
CategoryConsulting

Job description

About Us
Veris is a market leading national surveying, digital & spatial and planning business. With over 500 personnel and 15 office locations across Australia, we combine national strength with local knowledge and expertise to ensure the best outcomes for our clients.

The Opportunity
Spatial innovation at Veris involves the application of various tools and disciplines within data mining, computer vision, web visualisation, machine learning and VR/AR to develop platforms and identify trends, patterns and insights from data. Our Spatial Data Scientists extract meaning from location-based data to uncover insights and enable clients to use data in their business decision making.

As a Senior Spatial Data Scientist you will be involved in solving our clients’ problems and developing novel spatial solutions. This will primarily involve feature extraction from 3D point clouds and imagery gathered from mobile mapping systems and drones. Your activities at Veris will involve:

  • Identifying all the relevant data sources to solve the business needs
  • Advising on the options and recommending solutions for solving the problems
  • Building spatial analytics, predictive models and/or machine learning algorithms to extract features from our captured Spatial Data, particularly point clouds and drone imagery
  • Developing and/or extending web platforms to solve a range of client needs
  • Processing, cleansing & verifying Spatial Datasets
About You
As a client facing business it is essential that you are actively involved with Veris’ clients. You will be an active team member, and as a senior member of the team will mentor and guide less experienced team members. You will also support senior leaders to engage with clients on a range of spatial problems. The role will involve creating reports, visualisations and industry presentations.
Experience you will need:
  • Tertiary qualifications in survey, engineering, geospatial or related discipline.
  • 5+ years of relevant work experience with coding, debugging, and testing
  • Demonstrated spatial machine learning and coding experience to extract features from point cloud and/or imagery data.
  • Ability to develop high quality project scope and requirements documentation.
  • Ability to communicate ideas and present information in a simple, effective, and inclusive way.
  • Ability to work autonomously and as an effective team member.
  • A commitment to maintaining high ethical standards and professionalism in all your dealings.
  
Our Culture
  
At Veris we value providing a diverse and inclusive workplace where every individual is treated with dignity and respect. We are an Equal Opportunity employer and all qualified applicants will receive consideration for employment regardless of their race, cultural background, ethnicity, national origin, ability/disability, gender identity, sexual orientation, spirituality or religion and encourage applicants from diverse backgrounds, communities and industries.
  
We respect and honour Aboriginal and Torres Strait Islander Elders past, present and future. We acknowledge the stories, traditions and living cultures of Aboriginal and Torres Strait Islander peoples on this land and commit to building a brighter future together.
Refer code: 1561988. Veris - The previous day - 2024-02-26 20:07

Veris

Melbourne, VIC
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