Data Scientist

We are seeking a highly analytical professional to join a Marketing Analytics team focused on measuring and optimizing the effectiveness of a large-scale paid search program. This role sits at the intersection of marketing analytics, business analytics, strategy, and data science, helping stakeholders answer complex business questions and make data-driven investment decisions.

This position is ideal for someone who enjoys translating data into actionable recommendations, designing experiments, evaluating marketing effectiveness, and influencing business strategy through analytical insights.

What You’ll Do

• Design and execute incrementality tests, holdout experiments, and pre/post analyses to measure marketing effectiveness.
• Apply statistical methodologies to determine whether observed results are causal or simply correlated.
• Translate ambiguous business questions into structured analyses and actionable recommendations.
• Support budget planning and investment decisions through marketing performance measurement and ROI analysis.
• Build and maintain trusted datasets, reporting frameworks, and analytical models.
• Evaluate campaign performance and identify opportunities for optimization and growth.
• Contribute to channel strategy discussions through data-backed recommendations.
• Validate findings, challenge assumptions, and communicate insights to both technical and non-technical stakeholders.
• Collaborate closely with marketing, analytics, and business teams to influence decision-making.

• Experience working in a B2C marketing environment.
• Strong SQL skills for analyzing and querying large datasets.
• Experience designing and evaluating experiments, including:
• Hypothesis testing
• Significance testing
• Power analysis
• Test design and measurement
• Experience translating analytical findings into business recommendations.
• Strong communication and cross-functional collaboration skills.

Preferred Experience

• Paid search platform experience, including:
• Google Ads
• Microsoft Ads
• Search Ads 360 (SA360)

Experience with one or more of the following:

• Incrementality Testing
• Media Mix Modeling (MMM)
• Multi-Touch Attribution (MTA)
• Marketing Measurement
• Causal Inference
• Python experience, particularly for data analysis and modeling.
• Experience building reports and dashboards in tools such as:
• Tableau
• Looker
• Other business intelligence platforms
• Experience leveraging AI or GenAI tools to improve analysis, reporting, or workflow efficiency. Technology Doesn’t Change the World, People Do.®

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