<p>About the Opportunity</p><p>We're seeking a Data Scientist who thrives at the intersection of business strategy, marketing analytics, and statistical analysis. This role sits between a traditional Data Analyst and Data Scientist, focusing less on reporting and more on answering complex business questions that influence marketing investment decisions.</p><p>You'll join a high-performing analytics team responsible for evaluating and optimizing one of the organization's largest performance marketing channels. The ideal candidate brings a strong background in B2C marketing analytics, paid search, experimentation, and statistical analysis, with the ability to translate ambiguous business problems into actionable recommendations.</p><p><br></p><p>What You'll Do</p><p>In this role, you'll use data to influence marketing strategy and investment decisions across large-scale paid search programs.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and execute incrementality tests, holdout experiments, and pre/post analyses to measure the true business impact of paid search investments.</li><li>Build statistical frameworks to evaluate campaign performance and guide strategic decision-making.</li><li>Analyze large datasets using SQL and Python to uncover trends, performance drivers, and opportunities.</li><li>Develop recommendations regarding marketing spend allocation through ROI and marginal return analyses.</li><li>Translate complex business questions into structured analytical approaches and defensible recommendations.</li><li>Partner with marketing, analytics, and business stakeholders to influence investment and optimization strategies.</li><li>Create and maintain trusted reporting, dashboards, and performance measurement frameworks.</li><li>Validate findings, quality-check reporting, and challenge assumptions to ensure analytical rigor.</li><li>Support ad hoc analyses including:</li><li>Marketing budget optimization</li><li>Competitive performance analysis</li><li>Search engine algorithm impact assessments</li><li>Customer acquisition and conversion performance studies</li></ul><p>What a Typical Month Looks Like</p><ul><li><strong>50%</strong> Ongoing performance management and campaign optimization</li><li><strong>30%</strong> Strategic projects, experimentation, and deep-dive analysis</li><li><strong>20%</strong> Team collaboration, stakeholder meetings, and team development</li></ul>
<p><strong>Data Scientist/Senior Analyst, Search Measurement & 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'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>