× Job ID 5104
Title: Data Scientist Location: Fort Lauderdale, Florida Posted: 13 Jan 2026
Job Description:
The Data Scientist works closely with Retail Technology Media and Account Services teams to provide predictive modeling of Marketing Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.
Responsibilities:
• Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management analysis used across the company. • Collaborate and share knowledge with teams across the media organization as appropriate. Build and maintain relationships with business partners at the manager and staff levels. • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis. • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies. • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting. • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models. • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation. • Provide client-facing, non-technical recommendations and insights both in a written and verbal manner that provide understandable and actionable optimizations. • Work with Media Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives.
Requirements:
• Bachelors degree in a related field • 2-3 years of experience in the data and analytics field • Must demonstrate the ability to successfully develop and run analytics scripts using specialized tools and platforms, specifically R, Python, SQL, and/or SAS. • Experience applying data synthesis, mining, and regression techniques for enhanced targeting, audience segmentation, clustering, and insightful recommendations. • Advanced knowledge of Microsoft Excel • General understanding of digital advertising, digital media strategy, ad placement, type placement-level insight, and standard media metrics. • Experience with data orchestration tools such as Annalect Omni • Excellent verbal, written, and interpersonal communication skills • Ability to work independently and as part of a team • Ability to manage multiple projects simultaneously while meeting deadlines • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations. • Data storytelling and presentation