
Data Scientist
Tracksuit
full-time
Posted on:
Location Type: Hybrid
Location: Auckland • New Zealand
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Salary
💰 NZ$105,000 - NZ$135,000 per year
About the role
- You’ll be applying your data skills to solve problems at the heart of our business model.
- You’ll have license to run experiments, imagine surveying from first principles, and implement solutions with a product team to build the world’s best survey engine.
- As you shape the trajectory of Tracksuit, you’ll be able to directly measure your impact and demonstrate your contribution to the business.
- You’ll have high-level business goals and outcomes, but it’s up to you to define the problems and solutions.
- Designing machine learning algorithms to optimise survey collection.
- Running and analysing experiments to improve respondent engagement.
- Building our survey data quality monitoring system.
Requirements
- Has 3+ years experience as a Data Scientist
- Deep understanding of statistics, including both frequentist and Bayesian approaches.
- Strong fluency in SQL and in scripting languages such as Python and R.
- (Nice to have) Experience with operational research, experimentation, or classical machine learning
- You're energized by solving real problems and thrive when exploring new domains
- You balance statistical rigor with business pragmatism, making smart trade-offs to ship solutions that matter
- You prioritize your work, drive projects forward, and know when to move fast vs. when to de-risk
- You find joy communicating technical work in ways that resonate with customers, product partners, and commercial stakeholders
- This is such a collaborative role that we want a great, kind human.
Benefits
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Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysismachine learning algorithmsstatisticsfrequentist statisticsBayesian statisticsSQLPythonRoperational researchexperimentation
Soft Skills
problem-solvingcollaborationcommunicationprioritizationproject managementbusiness pragmatismadaptabilitycreativitycustomer engagementkindness