<p><strong>Data Scientist/Senior Analyst, Search Measurement &amp; Analytics (Contract)</strong></p><p><strong>6 Month Contract </strong>(Potential for Extension or Conversion) </p><p><strong>Location: </strong>Richmond, VA (Remote Potential, Contract only) </p><p><strong>About the Opportunity</strong></p><p>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 <strong>marketing analytics, business analytics, strategy, and data science</strong>, helping stakeholders answer complex business questions and make data-driven investment decisions.</p><p>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.</p><p><strong>What You&#39;ll Do</strong></p><ul><li>Design and execute incrementality tests, holdout experiments, and pre/post analyses to measure marketing effectiveness.</li><li>Apply statistical methodologies to determine whether observed results are causal or simply correlated.</li><li>Translate ambiguous business questions into structured analyses and actionable recommendations.</li><li>Support budget planning and investment decisions through marketing performance measurement and ROI analysis.</li><li>Build and maintain trusted datasets, reporting frameworks, and analytical models.</li><li>Evaluate campaign performance and identify opportunities for optimization and growth.</li><li>Contribute to channel strategy discussions through data-backed recommendations.</li><li>Validate findings, challenge assumptions, and communicate insights to both technical and non-technical stakeholders.</li><li>Collaborate closely with marketing, analytics, and business teams to influence decision-making.</li></ul><p><br></p>

<p><strong>Top Requirements</strong></p><p><strong>Required Experience</strong></p><ul><li>Experience working in a <strong>B2C marketing environment</strong>.</li><li>Strong <strong>SQL</strong> skills for analyzing and querying large datasets.</li><li>Experience designing and evaluating experiments, including:</li><li><u>Hypothesis testing</u></li><li><u>Significance testing</u></li><li><u>Power analysis</u></li><li><u>Test design and measurement</u></li><li>Experience translating analytical findings into business recommendations.</li><li>Strong communication and cross-functional collaboration skills.</li></ul><p><strong>Preferred Experience</strong></p><ul><li><strong>Paid search platform experience</strong>, including:</li><li>Google Ads</li><li>Microsoft Ads</li><li>Search Ads 360 (SA360)</li></ul><p>Experience with one or more of the following:</p><ul><li><strong>Incrementality Testing</strong></li><li><strong>Media Mix Modeling (MMM)</strong></li><li><strong>Multi-Touch Attribution (MTA)</strong></li><li>Marketing Measurement</li><li>Causal Inference</li><li>Python experience, particularly for data analysis and modeling.</li><li>Experience building reports and dashboards in tools such as:</li><li>Tableau</li><li>Looker</li><li>Other business intelligence platforms</li><li>Experience leveraging AI or GenAI tools to improve analysis, reporting, or workflow efficiency.</li></ul>

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