At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.
Founded in New Zealand 11 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK.
Auror is connecting people and intelligence to reduce crime. We’re using technology for good.
In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.
About Auror Engineering and Product
Collaboration is at the heart of the Engineering and Product team at Auror. We believe that we can only build the very best software through working with each other, seeking different perspectives to solve problems. We have just started on our journey to unlock the value in the data we collect, helping to connect the dots between incidents and work towards preventing crime in real time. Every day we have tens of thousands of incidents entered into Auror from retailers around the world, including plain text reports, images and CCTV, which need to be matched, aggregated and reported back to our customers and law enforcement.
The Role
We want to arm our retail customers with actionable and unrivaled insight into their business - using real-time data. We currently have 15,000 retail stores using our platform globally with over 50,000 retail users. We are looking for an innovative Lead Data Scientist to help explore the insights present in our data and use machine learning to deliver smart features at scale, as well as lead a team of small but growing data scientists at Auror. The team is part of the wider Data and AI team, which are based all over the world and includes data engineering, insights, and data science. This role is based in Auckland, New Zealand.
You will work collaboratively with the product squad, the insights team, the wider business, and customers at times. You will have the freedom to design and build ML projects from end to end; this includes solution design, data science, working with engineers and designers to operationalise ML, and constantly improving results as algorithms become part of production systems. Our data scientists work with a modern data stack (Snowflake, python, Azure), typically prototyping solutions and then helping to operationalise them as they become features in our platform. The immediate goal for this role is to help us move faster with AI: we want to demonstrate value before we integrate our algorithms, and speed up integration into the platform. We also want you and the team to share any new AI developments frequently and proactively - whether it be in your own work at Auror, or generally such as advances in LLMs or computer vision.
Your role would be to lead the data science team as they speed up and scale how data science is delivered, and to ensure that operational needs (such as communicating progress, teaching people about AI, or maintaining algorithm quality) continue to be met in a timely manner. We expect to continue to add people to the team as the company grows, and you’ll lead recruitment for any new people joining the team. The team is small, so we anticipate at least half of your time will be spent on building data science solutions.
Working across multiple jurisdictions and privacy laws, and on sensitive data, we have a focus on being responsible with technology - especially AI. We have created a responsible AI framework and have a core set of guiding principles that help ensure that we - and you - are always thinking about what is the right thing to do.
What you will work on:
This role reports to Dr Kat Hempstalk, Director of Data & AI
I joined Auror with one goal in mind: enabling data to delight our customers. I currently sit within engineering and look after our new data warehouse and artificial intelligence systems. I have previously held leadership roles at well known NZ companies such as Trade Me, Xero and Orion Health, and have helped build cutting edge machine learning systems in many different domains. I enjoy working with people who are curious, have a strong desire to learn, like using modern technologies and methodologies, and are keen to use data in interesting (and safe) ways. I’m based in Tauranga with my trouble-maker miniature schnauzer, Rufus.
Nice to have:
We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page).
With diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.
Benefits