Graduate Marketing Scientist - Austin, TX

Blenheim Chalcot•Austin, TX

5d•Onsite

About The Position

Fospha is seeking a Graduate Marketing Scientist to join their Marketing Science team in Austin, TX. This role is an entry point into the function, focusing on the applied aspects of marketing measurement products such as attribution, marketing mix modeling (MMM), incrementality testing, and brand impact measurement. The position involves hands-on work from the start, including designing and delivering incrementality tests and MMM engagements for clients, and analyzing client data. It's an opportunity for individuals who want to learn causal measurement in a business where it is the core product.

Requirements

Strong foundation in maths and stats.
Clear communication skills.
Working proficiency in SQL.
Python, or a demonstrated ability to pick it up quickly.
Grounding in inferential statistics (hypothesis testing, uncertainty, statistical power, meaning of null results).
Some exposure to experimental design (randomisation, control groups, confounding, impact of badly designed tests).
Strong AI fluency (using AI tools for problem-solving and knowledge gaps, QAing output).
Clear, concise written communication.
Composure in client-facing conversations, including when clients are unhappy.
Real attention to detail and discipline in logging information.
High agency and willingness to take ownership.

Nice To Haves

Exposure to marketing, ecommerce, or advertising data.
Familiarity with Bayesian methods and/or modelling.
Experience with cloud data tooling.
Experience presenting to or supporting external stakeholders.

Responsibilities

Assemble and validate test data, including geo-level spend and conversion series, checking pre-period parity and identifying coverage gaps.
Support test design by assisting with market matching, control selection, power and minimum detectable effect checks, and identifying contamination risks.
Run analysis and interpret results, including pre-treatment fit diagnostics, lift estimates with intervals, and the implications of null results.
Qualify client data for MMM by assessing spend coverage, variation in spend, series length and granularity, collinearity, and potential biases.
Assemble and validate model input datasets, investigating any discrepancies.
Support model runs and analyze diagnostics such as fit, residuals, and convergence.
Contribute to output-extension work, such as forecasting or budget scenario planning derived from MMM results.
Compare results across different methods (MMM, incrementality, platform-reported figures) to understand discrepancies.
Act as first and second line support for client trust queries, investigating number changes and isolating causes using SQL.
Distinguish between bugs and methodology changes, considering factors like attribution window changes, model recalibration, data feed gaps, and platform reporting shifts.
Triage PSPs (Platform-Specific Problems) on model trust, resolve issues, and escalate genuine model problems with a clear diagnosis.
Reconcile platform-reported figures against Fospha's measurements.
Log and tag incidents consistently to identify recurring failure patterns for potential automation.
Run templated explainer sessions for clients on how Fospha's measurement works.
Draft documentation and presentations, and feed recurring query themes back into source material.
Fact-check methodology claims in product marketing collateral.
Prepare and validate test data for incrementality delivery.
Assist with MMM data qualification and model input assembly.
Log and tag trust incidents consistently for workflow design.