• Collaborate with Legal and AI Data Science teams to address challenges in content protection and compliance. • Analyze third-party AI models and applications for potential unauthorized use of Elsevier content. • Support the development and evaluation of AI models for detecting copyright infringements and compliance risks. • Assist the legal team in preparing technical documentation for compliance cases. • Analyze datasets, identify patterns, and communicate findings clearly to stakeholders. • Document issues and suggest improvements to systems and processes. • Learn best practices and advanced methodologies from experienced team members.

• Drive the roadmap for internal AI & ML initiatives, aligning with business objectives and regulatory requirements. • Serve as a subject matter expert on fraud analytics, advising leadership on emerging threats and mitigation strategies. • Architect and deploy cutting-edge machine learning and AI models to maximize fraud recovery, behavioral analysis, and predictive fraud prevention. • Optimize models for scalability, real-time performance, and minimal false positives. • Identify new data sources and develop advanced feature engineering techniques to enhance fraud detection capabilities. • Lead research into novel algorithms, including graph analytics and deep learning approaches. • Partner with Legal, Leadership, and Engineering teams to integrate solutions into enterprise systems. • Communicate complex technical concepts to non-technical stakeholders and influence decision-making. • Guide and mentor junior data scientists, fostering a culture of innovation and continuous learning. • Ensure models adhere to regulatory standards (OCC, PCI DSS) and ethical AI practices.

• Design, build, and maintain scalable data solutions using Python and SQL • Develop and integrate machine learning and computer vision models within Azure • Connect and consume external and internal systems through APIs • Collaborate with cross functional stakeholders to translate sales needs into data products • Ensure production readiness, performance, and maintainability of data workflows • Operate independently across milestone driven and exploratory initiatives

The Dyrt is the largest digital camping platform in the world, and the number 1 ranked camping app on both iOS and Android. Every second, a new user visits The Dyrt to access our community-driven campground information. With more than 5 million user-submitted campgrounds, reviews, and tips — more than anyone else on the Internet — The Dyrt makes it easier to find campgrounds for the 80+ million people who camp across the United States. If you love the outdoors and want to be part of a fast-growing consumer app, you’re in the right place. The Role: We’re looking for a part-time Advertising Sales Lead-Generation Manager to cultivate and manage leads, lists, and reporting. This role focuses on optimizing inbound leads, managing data, and leveraging AI tools to discover new opportunities. Key Responsibilities: List Cultivation: Research and develop potential client lists with contacts for sales reps Develop and maintain email drip campaigns and automation flows Manage sending domain deliverability, sender reputation and list hygiene CRM Management: Own and optimize Pipedrive (or similar CRM) Maintain clean, actionable data across all accounts Build dashboards and monthly reports showing all sales activity AI Enablement: Research and integrate AI tools for prospecting and personalization Identify ways to automate repetitive tasks like LinkedIn follow-ups, lead enrichment, and RFP tracking Stay ahead of emerging sales AI trends Hand off sales-ready opportunities to the sales team Requirements: