Role Description Graduating soon—or recently completed your degree? This opportunity allows you to transform your education and interpersonal skills into a career that offers flexibility, growth, and meaningful impact. AO Globe Life is expanding its remote workforce and seeking motivated individuals who want to help families understand their benefit options and protect their financial futures. This fully remote opportunity is ideal for new graduates interested in building professional experience in client relations, financial services, and business development while receiving structured mentorship and training. What You’ll Do - Conduct virtual consultations with pre-scheduled clients through Zoom - Assess client needs and explain available life, accident, and supplemental coverage options - Guide individuals and families through the enrollment process - Maintain accurate digital documentation of client interactions - Participate in weekly training sessions and professional development programs - Build strong client relationships while developing communication and business skills Qualifications - Recent or upcoming college graduates - Strong communicators who enjoy working with people - Organized and self-motivated individuals with a goal-oriented mindset - Professionals open to coaching, mentorship, and continuous improvement - Comfortable using video conferencing platforms and digital tools in a remote environment - Authorized to work in the United States - Access to a Windows-based laptop or desktop with webcam and reliable internet Benefits - Fully remote work environment available across the United States - Flexible scheduling that supports work–life balance - Weekly compensation through a performance-based structure - Pre-qualified client consultations provided—no prospecting required - Comprehensive onboarding, training, and licensing support - Leadership development and advancement pathways - Quarterly performance bonuses and recognition programs - Equity opportunities for qualifying team members - Collaborative team culture with ongoing mentorship Company Description For more than 70 years, AO Globe Life has served working-class families across the United States by providing supplemental benefits that help protect their financial futures. The organization partners with unions, credit unions, and veteran groups nationwide while supporting a growing remote workforce built on mentorship, integrity, and long-term career growth. If you are ready to begin a career that combines flexibility, professional development, and meaningful impact, we encourage you to apply and explore joining AO Globe Life.

• Build the source of truth • Design the analytics system • Stay hands-on • Partner across the business • Lead the BI team • Scale across apps • Own data quality end-to-end

• Perform ongoing review of clinical trial data to ensure accuracy, completeness, and consistency. • Identify, investigate, and resolve data discrepancies through query management. • Conduct manual and system-driven data reviews in accordance with study protocols and DMPs. • Collaborate with cross-functional teams (Clinical Operations, Biostatistics, Programming, Medical Monitoring) to support data cleaning activities. • Participate in database lock activities and ensure data readiness for interim and final analyses. • Maintain study documentation in compliance with regulatory requirements and internal SOPs. • Manage and maintain user access within clinical data management systems (e.g., Medidata Rave). • Process access requests, modifications, and terminations in accordance with established procedures. • Ensure appropriate role-based access and system permissions are assigned. • Maintain audit-ready documentation related to user access activities. • Support periodic access reviews and compliance checks. • Assist with system user training and troubleshooting as needed.

Title: Staff Data Scientist Location: Remote Job Description: Location: Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC Systems is the leading provider of accounting and management software for the community association management industry. Our platform supports tens of thousands of associations and millions of homes, generating rich datasets across finance, operations, and customer interactions. As CINC evolves toward more intelligent, AI-enabled products, deep analytical insight and rigorous data science are critical to identifying new opportunities, shaping product strategy, and validating where AI can deliver real value. The Staff Data Scientist plays a central role in that discovery. About the Role The Staff Data Scientist is a senior individual contributor responsible for advanced data analysis, feature exploration, model design, and research that enable the discovery of new insights and product opportunities. This role focuses on understanding data deeply, experimenting with models, and translating analytical findings into clear recommendations that inform product, engineering, and business decisions. This is not a reporting or dashboarding role. It is a research-oriented, insight-driven role for someone who thrives on ambiguity, asks sharp questions, and uses data to illuminate what should be built next and why. Key Responsibilities · Explore large, complex datasets to uncover patterns, anomalies, and opportunities · Design and evaluate statistical and machine learning models to support insight discovery and hypothesis testing · Partner with product, engineering, and business stakeholders to frame questions and translate findings into actionable insights · Conduct feature exploration and selection to inform downstream AI and analytics initiatives · Design experiments and analyses to validate assumptions and measure impact · Develop prototypes and proofs of concept that demonstrate the potential value of new models or approaches · Communicate results clearly through narratives, visualizations, and written recommendations · Stay current with advances in data science, statistics, and applied machine learning · Collaborate with Data Engineering and AI Engineering teams to transition validated ideas into production-ready work · Mentor other data scientists and analysts, raising the level of analytical rigor across the organization Qualifications Technical Expertise · 10+ years of experience in data science, applied research, or advanced analytics roles · Strong foundation in statistics, probability, and experimental design · Experience designing and evaluating machine learning models for classification, regression, clustering, or forecasting · Proficiency in Python and common data science libraries · Experience working with large datasets in SQL-based and analytical data environments · Ability to reason about data quality, bias, and limitations Research and Collaboration · Proven ability to work in ambiguous problem spaces and define meaningful analytical questions · Strong communication skills, able to explain complex findings to non-technical audiences · Experience influencing product or business strategy through data-driven insights · Comfortable collaborating across disciplines without formal authority · Structured thinker who can balance exploration with rigor Mindset and Values · Deep curiosity and a passion for discovery · Belief that insights precede automation and that not every problem needs a model · Learning-first attitude, continuously improving methods and tools · Pragmatic and outcome-oriented, focused on decisions and impact · Respects the difference between research, engineering, and operations while collaborating closely with all three What Success Looks Like · New insights lead directly to product opportunities, experiments, or strategic decisions · Models and analyses are trusted, well-reasoned, and reproducible · Stakeholders understand not just the results, but the implications and trade-offs · Promising ideas move efficiently from discovery to validation and into engineering roadmaps · The Staff Data Scientist is recognized as a thought partner and expert across the organization CINC is an Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities.