Senior Data Scientist

About the role

Tracksuit uses a deep, longitudinal brand dataset to understand how consumer brands grow. The company is creating a new Marketing Science function focused on turning proprietary data into original research, strong analytical frameworks, and evidence-based intellectual property that can influence how the industry thinks about brand building.

This position is for a Senior Data Scientist who will anchor the analytical work of this small, research-first team. The role is not centred on reporting or content production; instead, it is about rigorous analysis, reproducible methods, and commercially useful insight.

About the company

Tracksuit is one of the fastest-growing startups in New Zealand and Australia, serving more than 1,000 brands across 25 countries, including frank body, Bailey Nelson, Disney+, and Bondi Sands. Its goal is to make brand measurement as credible and decision-useful as financial reporting.

What you will do

The Marketing Science team exists to identify what is true about brand growth and make those findings persuasive and usable. You will work with proprietary data to test hypotheses, detect patterns across categories and markets, and help build the research foundations behind published thought leadership.

Your work will centre on analytical rigor, reusable systems, and clear communication of results to both technical and non-technical audiences. The team is intentionally small, so quality, independence, and sound judgment matter more than high-volume output.

Key responsibilities

• Design and execute statistical analyses on Tracksuit data to evaluate Marketing Science hypotheses.
• Develop the analytical backbone for flagship research and thought leadership pieces.
• Create reusable analytical tools, code, and documented methods that can be applied to future research.
• Convert statistical findings into plain-language insights for Marketing Science and broader marketing teams.
• Review external claims to ensure they are supported by evidence and consistent with product truth.
• Help uphold research governance standards, including reproducibility, data integrity, and methodological discipline.
• Support marketing enablement in a limited way by validating narratives and sense-checking claims when needed.

What the role needs

You should bring strong statistical capability, practical research instincts, and the ability to turn complex findings into clear business narratives. The work calls for someone who understands how to distinguish correlation from causation and can explain that distinction clearly.

Hands-on experience with regression, survey statistics, experimental design, Bayesian methods, and causal inference is important. Exposure to brand lift measurement, marketing mix modelling, or incrementality testing would be a major advantage.

You also need to be comfortable working in Python or R alongside SQL, writing clean and reproducible code, and exploring unfamiliar datasets with minimal guidance. Familiarity with AI-assisted or agentic coding workflows is considered a plus.

The team is looking for someone who can shape research questions, challenge weak assumptions, and judge when an analysis is ready for external scrutiny. Experience producing work that has been published or publicly reviewed is especially valuable.

Commercial storytelling is also essential: findings must be translated into concise, honest, useful language that helps others act with confidence.

Additional information

Tracksuit values curiosity about brand and the broader question of whether brand investment drives commercial outcomes. A background in marketing science is helpful but not required, provided you are motivated by longitudinal data, panel research, and building evidence in a field where proof matters.

The company offers competitive pay, employee share ownership, full work flexibility, health and wellness benefits, learning and development support, company socials, mentors, and a supportive growth-focused environment. Employees also receive a Tracksuit as part of the onboarding experience.

The workplace is described as transparent, trust-based, intellectually honest, and pet-friendly. Tracksuit says it welcomes candidates from diverse and under-represented backgrounds and encourages people to apply even if they do not meet every requirement.

The hiring process may involve AI tools to assist with application review and screening, but final decisions are made by people. Candidates can expect to hear back in the week commencing 6 July.

The role can be based in either the Auckland or Sydney office, and the listed location is Sydney, New South Wales, Australia.

Terms and conditions

Tracksuit states that it uses AI tools in parts of recruitment to help review applications, assess resumes, and look for inconsistencies or verification signals. These tools support the recruitment team and do not replace human judgment. If a candidate wants more information about data processing, they may contact the company.

The company also practices transparent compensation, with annual full-cycle compensation reviews and rolling promotions when employees level up. Salary is supplemented by a best-in-class benefits package and generous ESOP.

The position is open to applicants who believe they are a strong fit even if they do not satisfy every listed requirement.