Graduate Marketing Scientist - Austin, TX

Blenheim Chalcot•Austin, TX

4d•Onsite

About The Position

Fospha is seeking a Graduate Marketing Scientist to join their Marketing Science team in Austin, TX. This role focuses on marketing measurement products for e-commerce brands, including attribution, marketing mix modeling (MMM), and incrementality testing. The Marketing Science team is responsible for designing and delivering these services for clients, ensuring the accuracy of the data and analysis. This is an entry-level, hands-on position where you will work on live test and MMM delivery under supervision from the start, and be the first point of contact for client data discrepancies. It's an opportunity to learn causal measurement in a business where it is the core product.

Requirements

Strong foundation in mathematics and statistics.
Clear communication skills.
Working proficiency in SQL.
Python, or a demonstrated ability to learn it quickly.
Grounding in inferential statistics (hypothesis testing, uncertainty, statistical power, meaning of null results).
Some exposure to experimental design (randomization, control groups, confounding, impact of poorly designed tests).
Strong AI fluency; ability to use AI tools for problem-solving and knowledge gaps, with QA of output.
Clear, concise written communication.
Composure in client-facing conversations, including when clients are unhappy.
Real attention to detail.
Discipline to log things consistently.
High agency; willingness to take ownership as demonstrated.

Nice To Haves

Exposure to marketing, e-commerce, or advertising data.
Familiarity with Bayesian methods and/or modeling.
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 review, including market matching, control selection, power and minimum detectable effect checks, and identifying contamination risks.
Run analysis and interpret results honestly, including pre-treatment fit diagnostics, lift estimates with intervals, and the implications of null results.
Qualify client data for MMM, assessing spend coverage, variation, series length, granularity, collinearity, and potential biases.
Assemble and validate model input datasets, investigating any discrepancies.
Support model runs and interpret diagnostics such as fit, residuals, convergence, and plausibility of channel contributions.
Contribute to output-extension work under review, such as forecasting or budget scenario planning based on 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 (e.g., attribution window changes, model recalibration, data feed gaps).
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 under review, explaining measurement methodologies to clients.
Draft documentation and presentations, and feed recurring query themes back into source material.
Fact-check methodology claims in product marketing collateral.