HA
Junior Data Scientist - Fleet Operations
HalterAucklandPosted 5 May 2026
Tech Stack
Job Description
Junior Data Scientist - Fleet Operations
ABOUT HALTER
At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.
We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB.
To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
What You’ll Do
- Model and Predict Failures: Build statistical and machine learning models to forecast hardware failures and detect early warning signals.
- Analyse Hardware Performance: Identify trends, root causes, and performance patterns across collars, towers, and batteries using large-scale operational data.
- Inform Decision-Making: Provide the Fleet Operations team with dashboards, insights, and tools that support prioritisation and resource allocation.
- Collaborate Cross-Functionally: Feed key findings and metrics to the Hardware Design, Engineering, and Product teams to inform future hardware iterations.
- Experimentation: Run statistical tests to validate hypotheses around environmental impacts, manufacturing changes, and firmware updates.
- Reporting and Communication: Create clear, actionable reports and visualisations that communicate technical findings to both technical and non-technical stakeholders.
About You
- Recent graduate with a degree in Data Science, Computer Science, Software Engineering, Engineering Science, or similar field
- Strong Python skills
- Experience with SQL
- knowledge of statistical modelling and hypothesis testing
- Basic understanding of fundamental machine learning concepts
- Data visualisation and communication‚ able to translate a complex analysis into a clear finding for a non-technical audience
- Strong communication skills with the ability to explain complex insights clearly.
JOIN OUR TEAM
Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!
If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with y ... (truncated, view full listing at source)
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