Tracksuit's data is our moat. We track brand health for thousands of the world's best consumer brands, which means we're sitting on one of the richest longitudinal brand datasets in the world. Most companies collect data. We want to prove things with it.
That's where you come in.
We're building out a new Marketing Science function, a small, research-led team that turns Tracksuit's data into rigorous, ownable intellectual property. Think flagship studies, proprietary frameworks, and evidence-backed arguments that shift how the industry thinks about brand. This isn't a reporting team. It's not a content engine. It's a research function with a commercial edge.
We're looking for a Senior Data Scientist to sit at the analytical core of that team.
Why Tracksuit?We're one of the fastest-growing startups in New Zealand and Australia, working with over a thousand brands across 25 countries — brands like frank body, Bailey Nelson, Disney+, and Bondi Sands.
Our mission is to make brand measurement as credible and commercially useful as financial reporting. We think brand-building is one of the highest-leverage investments a company can make — and we're building the platform that proves it.
About Marketing Science
The Marketing Science function was built to do one thing: find what's true about how brands grow, and make that truth undeniable.
We work with Tracksuit's proprietary data to test hypotheses, identify patterns across categories and markets, and build the analytical frameworks that underpin our thought leadership. Our outputs don't just live in internal decks — they're designed to be published, cited, and used by CMOs, agencies, and partners as industry reference points.
The team is deliberately small and research-led: a Head of Marketing Science, a Senior Marketing Science Strategist, and you. Quality and rigour matter more here than speed and volume.
What you'll work on
Brand intelligence and pattern discovery
Tracksuit's dataset spans thousands of brands, hundreds of categories, and multiple markets over time. Your job is to make it speak. You'll work with the Senior Marketing Science Strategist to design and run rigorous analyses that test whether our hypotheses hold, where they hold, and why. You'll identify repeatable patterns in brand behaviour, flag where the signal is strong, and be honest about where it isn't.
Most of what you produce here is internal learning infrastructure, not external releases. That's intentional. Good research takes time to get right.
Analytical rigour for flagship IP
When Marketing Science commits to a piece of flagship research — the kind that gets cited in trade press, presented at industry conferences, or used by partners in major pitches — you'll be responsible for making sure the analysis underneath it is bulletproof. That means clear methodology, reproducible results, and honest treatment of uncertainty.
You're not just running numbers. You're building the credibility that makes our points of view land.
Reusable frameworks and systems
One of our operating principles is that good analysis should compound, not repeat. You'll help build the analytical frameworks, reusable code, and documented methodologies that mean we don't have to start from scratch every time we explore a new question. The goal is leverage: systems that let the team move faster without cutting corners.
Supporting GTM and enablement (lightly)
Marketing Science plays a review and validation role for marketing outputs — not a delivery role. You'll occasionally help sense-check claims, verify that external narratives are analytically defensible, and translate findings into language that non-technical teams can use with confidence.
What we're looking for
Statistical depth
You're genuinely comfortable with the full range of methods needed for marketing and behavioural research: regression, survey statistics, experimental design, Bayesian approaches, and causal inference. You know the difference between correlation and causation — and more importantly, you know how to explain that difference to someone who doesn't.
Familiarity with brand lift methodology, marketing mix modelling (MMM), or incrementality testing is a strong advantage. If you haven't worked directly with these yet, you need to be genuinely interested in learning them quickly.
Fluency in Python or R, and SQL
You work cleanly. Your code is well documented, reproducible, and readable by someone other than you. You're comfortable working in data warehouses, navigating new datasets with minimal oversight, and scaling access to your data products to non-technical stakeholders.
Ideally, you’re an early adopter of agentic coding and actively use AI to empower others to collaborate on research too.
Research instincts
You ask good questions. You're not just a method executor — you can help shape the research agenda, push back on weak hypotheses, and identify where an analysis needs more work before it's ready to share. You've ideally worked in a context where the outputs of your work were externally published or scrutinised beyond an internal team.
Commercial storytelling
You can translate statistical findings into clear, plain-language narratives. Not dumbed down — just honest and useful. You understand that the goal isn't an impressive model; it's an insight that changes how someone thinks or acts.
Intellectual curiosity about brand
You find the question "does brand investment actually drive commercial outcomes?" genuinely interesting. You don't need a background in marketing science (though that's a bonus), but you need to be the kind of person who gets excited by longitudinal data, panel research, and the challenge of building the body of literature that proves something most people take on faith.
You'll be responsible for
- Designing and running statistical analyses to test Marketing Science hypotheses using Tracksuit's dataset
- Producing the analytical components of flagship research and thought leadership
- Building and maintaining reusable analytical frameworks and documented methodology
- Translating statistical outputs into clear narratives for use by Marketing Science and Marketing teams
- Helping ensure external claims are analytically defensible and consistent with in-product truth
- Contributing to research governance standards — reproducibility, data quality, and methodological rigour
- A research agenda that matters — your outputs are designed to shape industry thinking, not just inform internal dashboards
- A small, senior team where your analytical judgment carries real weight
- Tracksuit's longitudinal brand dataset is genuinely one-of-a-kind; you'll have access to data most researchers can only dream about
- A culture built on transparency, trust, and intellectual honesty — we celebrate being wrong when it means getting to right faster
- Competitive salary, ESOP for all staff, and full work flexibility
- Beautiful hubs in Auckland, Sydney, London, and New York
- Health and wellness benefits, learning and development support, and company socials
- Mentors and a team that invests in your growth
Obviously, when you join, you'll receive an epic Tracksuit — because we're built for speed and comfort, fun and informal (yet tidy), and ready for anything.
We're 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 some of the requirements, women and under-represented groups tend to only apply when they meet every requirement.
If you think you have what it takes but don't necessarily tick every box, please get in touch and apply.
🐾 FYI - We’re pet-friendly in principle and practice - with the occasional four-legged visitor adding to the charm, not the chaos.
👉 Please note - you can expect to hear back from us w/c 6th July.
Skills Required
- Expertise in regression, survey statistics, experimental design, Bayesian methods, and causal inference
- Fluency in Python or R and SQL
- Experience producing reproducible, well-documented code and working with data warehouses
- Ability to build reusable analytical frameworks, documented methodology, and research governance
- Comfort translating statistical outputs into clear, commercially-relevant narratives
- Familiarity with brand lift methodology, marketing mix modelling (MMM), or incrementality testing
- Experience publishing or externally-scrutinised research (e.g., cited studies, conference presentations)
- Interest in brand science and longitudinal/panel data research
What We Do
Our ambition is to help growth companies to use brand marketing to drive short and long term success. Tracksuit is an online dashboard that enables any company to track the strength of their brand, compare against their competitor’s brands, and get valuable advice on what the numbers mean and what to do next. All for a tenth of the price of traditional brand tracking.
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