• Partner with revenue cycle, finance, and operational leaders to drive data-informed decision making across billing, coding, and collections • Analyze large datasets from EHR, billing, claims, and financial systems to identify revenue leakage and optimization opportunities • Develop and deploy predictive models to improve denials management, cash collections, and reimbursement outcomes • Design and implement pilots to test and optimize revenue cycle strategies in real-time environments • Build dashboards and visualizations to monitor KPIs such as AR days, denial rates, and net revenue performance • Translate complex data findings into actionable insights for operational and executive stakeholders • Identify trends and patterns related to payer performance, coding accuracy, and claim adjudication • Lead analytics projects that support revenue cycle transformation and process improvement initiatives • Collaborate cross-functionally with IT and clinical teams to enhance data quality and reporting capabilities

• Drive end-to-end SEO strategy, covering technical, on-page, content, and conversion optimization. • Work closely with cross-functional teams to innovate and enhance our SEO efforts. • Utilize various platforms for analytics & insights to guide content strategy. • Travel to Georgia twice a year for team collaboration and planning.

• Develop, validate, and maintain programming solutions for CDMS (EDC systems such as Rave/Veeva), data validation outputs, data review/risk management outputs, custom reports, and programs in clinical trials. • Collaborate with data managers, project managers, clinical data scientists, and biostatisticians to ensure the integration of programming solutions into the overall data management process. • Act as a primary point of contact during the study set up and maintenance phase for system programming related questions by the project team. • Support colleagues with the clinical trials environment and concepts of Clinical Data Management Systems. • Perform extracts of data from CDMS and creation of data transfer programs. • Act as mentor and provides guidance and support to more junior programmer levels assigned to a project. • Assist in the development and implementation of improvements to technical systems and processes within an SME role. • Provide guidance on programming best practices, coding standards, and data quality control measures. • Stay updated on advancements in programming languages and data management tools to enhance operational efficiencies.

Role Description Are you looking for a Client Facing Data Scientist role to help drive innovation in the fraud detection space? As a collaborative Data Scientist, you will use and suggest new tools to optimize models and policies leveraging thousands of data points from a variety of LexisNexis Risk Solutions productions including ThreatMetrix, Emailage, BehavioSec, Fraud Intelligence, PhoneFinder, and others on the Dynamic Decision Platform. Responsibilities - Analytics: Use and suggest new tools and scripts to optimize models and policies leveraging thousands of data points from the ThreatMetrix Digital Identity Network as well as other LexisNexis Risk Solutions products on the Dynamic Decision Platform. - Consulting: Scope, plan, and deliver customer-focused projects including proof of values, proactive analytics, go-lives, optimizations, and custom models. - Innovation: Inspire and support research that further improves the capabilities and tools available within the team. Experience with Git and Jira to help guide and scope these research projects is required. - Presentation: Clearly explain complex patterns of behavior using data and models in a simple manner to non-technical audiences. - Best Practice: Develop and maintain strong best practices for the team to further scale and grow and help streamline deliverables. - Collaborate: Collaboration with LexisNexis Risk Solutions teams including Products, Engineering, Sales, and your colleagues to continually share and redefine best practices and help shape and improve our products. What you’ll be doing - Stay ahead of the industry trends by continuously thinking of new ways to apply our tools and solutions to customer problems across different industries. - Scope, plan, and deliver on customer analytical requests. - Use your strong knowledge of SQL, Python, Excel, and LUA plus quantitative skills to deliver insights which will help capture evolving fraudster behaviors. - Be constantly curious and have strong problem-solving skills to help transform uncertainty into value-add opportunities for our customers. - Use your strong attention to detail and ability to craft a story through data, delivering industry-leading presentations for external and executive audiences. - Leverage BI tools to identify and respond to anomalies and emerging industry trends (e.g., SuperSet, PowerBI, Snowflake, CoPilot, Jupyter). - Build an extensive knowledge of cybercrime and become an SME for all industries that we support (Financial Services, E-commerce, Gaming, Telecommunications). - Employ your multi-tasking and prioritization skills to excel in a fast-paced environment with frequently changing customer priorities. Benefits - Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs. - Life Assurance Policies: Providing financial security for your loved ones. - Modern Family Benefits: Support for maternity, paternity, and adoption needs. - Long Service Award: Recognition for your dedication and loyalty. - Celebratory Allowance/Gifts: Marking special occasions to celebrate with you. - Flexible Benefits Plan: Offering you wider choice of services and products. - Employee Assistance Program: Access support for personal and work-related challenges. - Flexible Working Arrangements: Balance work and personal life effectively. - Access to Learning and Development Resources: Empowering your professional growth.