Lead Measurement Scientist

At Jellyfish, we believe in the power of diverse perspectives and inclusive collaboration. We welcome individuals who excel in collaborative, varied teams and value the unique contributions that each person brings to the table.

Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand.

Job Description

Reporting to the Senior Martech Director within Jellyfish in Australia. Insights and marketing science operate as a single discipline containing two crafts. The Insights Analyst is responsible for performance interpretation and recommendations. You will be responsible for establishing causation. Both work closely with the Data Scientist.

The role covers both components of Marketing science; designing and running the measurement, and building and defending the models, weighted towards the former on appointment and towards the latter as the capability develops. The Director holds the most complex methodological decisions in the interim. The role sets technical direction for the analysts and data scientists working on measurement. Line management sits with the Director.

Your primary responsibilities will include:

• Own the measurement framework across marketing mix modelling, multi-touch attribution, incrementality and experimentation, including how the methods relate to one another.

• Determine which method is appropriate to a given question, and identify where the available data cannot support a reliable answer.

• Reconcile conflicting results across methods and explain the causes of the discrepancy.

• Produce a consolidated view of marketing performance for the client, with assumptions, limitations and confidence stated.

• Lead the analysts and data scientists working on measurement: set the method, review the output, maintain the technical standard, and mentor on modelling technique and experimental design.

• Design incrementality tests, geo experiments and holdouts, including the validity conditions for each design.

• Build marketing mix models, taking increasing ownership of the modelling as the capability develops.

• Build custom attribution models in BigQuery where platform- and rules-based attribution is insufficient.

• Write advanced SQL against raw event data in BigQuery.

• Specify models, test assumptions, quantify uncertainty and state the limitations of each result.

• Translate findings into media recommendations that can be implemented within the current planning cycle, and contribute measurement evidence to client planning and strategy decisions.

• Present and defend methodology to clients, supported by the Director on the most complex cases.

• Conduct performance and audience analysis where it relates to a measurement question.

• Build and document the datasets the measurement work depends on.

• Monitor the effect of platform, consent and privacy change on the methods in use.

Technical Environment

• Measurement framework. How marketing mix modelling, multi-touch attribution and experimentation relate to one another: the validity conditions for each, their respective blind spots, and the methods used to triangulate between them.

• Platform. Google Cloud. BigQuery at an advanced level, including complex joins across event-level data, window functions, query optimisation and cost control, scheduled queries and materialised views. GA4 raw exports as a primary data source.

• Statistics and data science. Regression and time series analysis, Bayesian inference, causal inference methods, and model diagnostics. Python or R for modelling.

• Modern measurement. Marketing mix modelling, including open-source frameworks. Incrementality testing and geo-based experimental design. Holdout design. Attribution beyond platform defaults, including custom and algorithmic models built in BigQuery. Measurement under consent, signal loss and platform change.

• Media. Planning and buying models across paid channels, platform reporting and its limitations, and conversion APIs.

• Visualisation. Tableau, Looker Studio, as required by the measurement work.

Qualifications

• 7+ years of experience in analytics or digital marketing, with at least 5 years in a leadership role in an agency setting prefered .

• Demonstrable ability to work across measurement methods: how marketing mix modelling, multi-touch attribution and incrementality relate, where each is unreliable, and how to resolve conflicting results.

• Experience leading or mentoring analysts or data scientists, including technical review of other people's modelling work.

• Advanced SQL and advanced BigQuery, including optimisation of complex queries over raw event data.

• Statistical grounding in regression, time series, uncertainty and model diagnostics, with the ability to explain these to a non-technical client.

• Models you have built rather than operated. Marketing mix modelling preferred; comparable modelling experience with clear intent to specialise will be considered.

• Experience designing measurement, not only interpreting it: incrementality, geo testing or holdout design.

• Attribution beyond platform defaults, including custom or algorithmic approaches and their limitations.

• Python or R at a working level for modelling.

• Media grounding, through either direct planning and buying experience or sustained measurement of media performance.

• Ability to present and defend methodology to senior client stakeholders.

• Judgement to identify when a question cannot be answered with the data available, and what would be required to answer it.

Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English.

Additional Information

Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.

💫 Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.

Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to talentacquisition@jellyfish.com.