Senior Data Scientist

About Tracksuit

Tracksuit works with brand-health data from thousands of leading consumer brands, giving the company access to one of the strongest longitudinal brand datasets available. The business focuses on using that data to validate ideas, not just report on activity.

The company is expanding a new Marketing Science function: a compact, research-focused group that turns proprietary data into original intellectual property, publishable studies, and evidence-based arguments that influence how the market thinks about brand. This is a research role with commercial impact, rather than a reporting or content-production role.

Tracksuit operates as one of the fastest-growing startups in New Zealand and Australia, supporting more than a thousand brands across 25 countries, including frank body, Bailey Nelson, Disney+, and Bondi Sands. Its mission is to make brand measurement as trusted and commercially useful as financial reporting.

About the Marketing Science team

The Marketing Science function exists to uncover what is true about brand growth and present those findings in a way that is hard to ignore. Using Tracksuit’s own data, the team tests hypotheses, looks for patterns across markets and categories, and develops the frameworks behind the company’s thought leadership. The outputs are intended to be published, cited, and used by CMOs, agencies, and partners.

The team is intentionally small and senior: a Head of Marketing Science, a Senior Marketing Science Strategist, and this role. In this environment, quality and analytical discipline matter more than fast output or high volume.

What you will do

You will work at the analytical centre of the Marketing Science function, helping make Tracksuit’s data useful for research, insight generation, and industry-facing intellectual property.

• Work with the Senior Marketing Science Strategist to design and run rigorous analyses that test hypotheses and identify repeatable patterns in brand behaviour.
• Assess where the data signals are strong, where they are weak, and where conclusions should be treated carefully.
• Lead the analytical work behind flagship research pieces that may be cited in trade media, used in conference presentations, or included in major partner pitches.
• Ensure the methods behind published work are robust, reproducible, and transparent about uncertainty.
• Build reusable analytical frameworks, code, and documentation so the team can answer future questions without rebuilding everything from scratch.
• Occasionally support marketing and go-to-market teams by checking claims, validating external narratives, and translating findings for non-technical users.
• Help maintain research governance standards, including reproducibility, data quality, and methodological rigour.

What we are looking for

This role calls for someone with strong statistical judgement, solid coding ability, a research mindset, and the ability to turn complex findings into clear commercial narratives.

• Deep comfort with statistical methods used in marketing and behavioural research, including regression, survey statistics, experimental design, Bayesian methods, and causal inference.
• Understanding of the difference between correlation and causation, along with the ability to explain it clearly to non-specialists.
• Experience with or strong interest in brand lift measurement, marketing mix modelling, or incrementality testing.
• Strong working knowledge of Python or R plus SQL.
• Clean coding habits, with well-documented, reproducible, and readable work.
• Confidence working in data warehouses, exploring unfamiliar datasets with limited guidance, and making data accessible to non-technical stakeholders.
• Interest in using AI and agentic coding tools to improve collaboration and research workflows.
• Strong research instincts, including the ability to challenge weak hypotheses and refine an analysis before it is shared.
• Experience in work that has been externally published, reviewed, or scrutinised beyond an internal team is preferred.
• Ability to present statistical findings in plain language that is accurate, useful, and commercially relevant.
• Genuine curiosity about brand growth and long-term data, even if you do not come from a marketing science background.

Why this role stands out

This is a chance to contribute to research that is intended to shape industry thinking rather than simply support internal reporting. You will join a small team where your judgement will carry real influence, and you will have access to a rare longitudinal dataset covering many brands, categories, markets, and time periods. The culture values transparency, trust, and intellectual honesty, including being willing to change course when the evidence demands it.

Benefits and rewards

• Competitive pay.
• ESOP for all employees.
• Flexible working arrangements.
• Access to attractive office hubs in Auckland, Sydney, London, and New York.
• Health and wellness benefits.
• Learning and development support.
• Company social events.
• Supportive mentors and a team invested in your growth.
• An epic Tracksuit as part of joining.
• A pet-friendly workplace, with the occasional four-legged visitor welcomed in spirit and in practice.

Additional information

Tracksuit is committed to diversity and inclusion and encourages people to apply even if they do not meet every requirement. The company notes that women and under-represented groups often wait until they meet all criteria before applying, and welcomes applications from people who believe they can succeed in the role.

Applicants can expect to hear back during the week commencing 6 July. The company also states that it may use AI tools to support parts of the hiring process, such as reviewing applications, analysing resumes, checking responses for inconsistencies, or identifying verification signals. These tools assist recruiters but do not replace human judgment, and final decisions are made by people. More information about data processing can be requested directly from the company.

Tracksuit also says it uses transparent compensation practices, with annual full-cycle pay reviews and rolling promotions when people move up. The role can be based in Auckland or Sydney, and the company has offices in Auckland, Sydney, London, and New York.

The workplace is described as fun and informal while still tidy and ready for anything.