• Менеджмент та розвиток команди продуктової й маркетингової аналітики — онбординг, менторинг, постановка цілей, оцінка результатів та побудова ефективних процесів роботи. • Робота з ключовими фінансовими показниками: прогнозування Revenue, LTV, ROI-аналіз маркетингових кампаній. • Розвиток аналітичної інфраструктури: дашборди, звіти та автоматизації, а також трансформація інсайтів у конкретні бізнес-рішення. • Впровадження єдиних стандартів метрик, термінології та аналітичних підходів у всіх продуктах Lift • Взаємодія з CEO, CPO та Head of Marketing — допомога командам у знаходженні точок зростання.

Role Description DATA SCIENTIST - RURAL HEALTH PROGRAM - Leads advanced analytics, modeling, and data strategy activities supporting statewide rural health transformation initiatives. - Develops predictive and prescriptive analytics to inform program strategy, provider performance improvement, and decision-making. - Designs and implements statistical models, machine learning approaches, and advanced analytical frameworks to assess provider performance, identify trends, and generate actionable insights. - Supports development of performance metrics related to access, quality, financial sustainability, and workforce stability. - Collaborates with data, technical assistance, and program teams to translate complex datasets into meaningful insights for state leadership and provider audiences. - Develops dashboards, analytical tools, and visualization products to support program monitoring and reporting. - Supports integration and management of multiple data sources, including program data, claims, operational metrics, and external datasets. - Ensures data quality, consistency, and alignment with reporting requirements. - Provides technical guidance on data governance, analytics methodologies, and interpretation of results. - Supports development of analytical documentation and contributes to audit-ready reporting environments. - Up to 25% travel may be required. Qualifications - Master’s degree in data science, biostatistics, epidemiology, health informatics, or related field required. - Minimum 5 years of experience in advanced analytics, statistical modeling, or data science, preferably in healthcare or public-sector environments. - Experience with machine learning, predictive analytics, and statistical analysis techniques. - Advanced proficiency in Python, R, SQL, or similar analytical tools. - Experience developing dashboards and data visualizations using Power BI, Tableau, or similar tools. - Experience working with healthcare data, including claims, clinical, or operational datasets preferred. - Ability to translate complex analytical results into actionable insights for non-technical audiences. - Experience supporting Medicaid, CMS, or federally funded programs preferred. - Strong problem-solving skills and ability to work in multi-disciplinary teams. Benefits - Equal opportunity employer. - Reasonable accommodations available for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs. - Confidential handling of accommodation requests. - Information on workplace discrimination rights and benefit offerings available. Company Description ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

Role Description Provide strategic analysis that impacts business decisions, improves efficiency and drives innovation. Perform data extraction, healthcare cost analysis, analytical model development, as well as production of various reports to support corporate strategies and initiatives. Execute complex analyses that guide the development of reimbursement policy, provider negotiations, network development, value-based care, population health management, utilization management programs and other medical cost containment solutions. Qualifications - REQUIRED QUALIFICATIONS - Required Work Experience - 1 year of experience in data analysis using analytic tools and processes (Level 1) - 3 years of experience in data analysis using analytic tools and processes (Level 2) - 3 years of experience working for a healthcare organization/health insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 3) - 5 years of experience working for a healthcare organization/health insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 4) - Required Education - Bachelor's Degree in mathematics, statistics, business, or related field of study (Applies to All Levels) - PREFERRED QUALIFICATIONS - Preferred Work Experience - 1 year of experience in data analysis working for a healthcare organization / health insurer (Level 1) - 3 years of experience working for a healthcare organization / health insurer, including development of business analytics and financial impact analyses (Level 2) - 5 years of experience working for a healthcare organization / health insurer, including development of business analytics and financial impact analyses (Levels 3, 4) - Preferred Education - Master’s Degree in mathematics, statistics, business, or related field of study. (Applies to All Levels) Requirements - Level 1 - Provide accurate, timely and reliable delivery of data, metrics, reporting and analysis in support of multiple strategic goals, mandates, and legislation - Develop processes, write programs and/or create databases using analytic tools to produce accurate and timely completion of analytic solutions - Identify, analyze, interpret and validate healthcare data metrics, trends and patterns - Develop and analyze business performance reports (e.g. for claims data, provider data, utilization data) and provide notations of performance deviations and anomalies. - Model financial impact analyses for a variety of business initiatives - Partner with peers to establish, evaluate, and continually improve measurement methodologies, while adhering to nationally accepted analytic and reporting standards - Act as liaison to both internal business partners and external providers or vendors - Create, modify, maintain, and enhance existing programming or business processes associated with specific responsibilities. - Interpret, communicate, and present results to all levels of management in consistent and easy to understand formats to facilitate fact-based decision-making. - Complete projects within preset timelines and report status to supervisor and project manager. - Prepare written documentation on projects to provide a peer review trail and ensure continuity and integrity. - Build and maintain close working relationships with internal stakeholders and key external client contacts (e.g. Providers, Internal Clinicians, Vendors, Customers, Brokers, BCBS Association, Blues Plans, Auditors). - Level 2 - Serve as an internal analytics consultant to define business questions and transform data and analysis into meaningful and actionable information for a variety of business areas - Perform complex analyses and interpret complex calculations to recommend actions and solutions - Develop financial models needed to accomplish analytic goals - Serve as subject matter expert for internal stakeholders - Design and deliver self-service business intelligence tools to internal customers - Make sound assumptions and fact-based recommendations and discuss with supervisor, manager, or project manager. - Effectively communicate results and recommendations to internal and external customers. - Provide self- and peer-review of job responsibilities - Share knowledge of skills, projects, and business needs with peers and less-experienced analysts. Train new analysts. - Report to a supervisor or manager who provides general supervisory instructions, manages projects and reviews results. Develops own work-plans, and discusses timelines, prioritization, and objectives with supervisor or manager. - Level 3 - Create and research analyses and recommendations which help achieve corporate initiatives and goals - Produce complex analytic solutions and consolidate complex analytics into easy-to-understand presentations focused on business implications - Deliver business intelligence to clients by applying and demonstrating expertise in the areas of advanced analytics, forecasting, data extrapolation, and predictive modeling - Communicate (both verbally and in writing) and interpret results, recommendations and abstract concepts to internal and external customers. Anticipate and address possible customer questions and concerns. - Report to a supervisor or manager who provides minimal supervisory instructions, limited project management, and minimal or limited review of results beyond pre-release peer review. - Train and mentor other analysts. - Level 4 - Drive and implement complex and critical analytic initiatives with minimal oversight. Includes working independently on creating timelines, working with other areas to define deliverables, monitoring progress, implementing the project and resolving/monitoring post-implementation issues. - Represent the department when meeting/strategizing with leadership of other areas, practicing situational awareness and balancing the business needs with prioritization of analytics resources. - Review results post-implementation to ensure projections are realized and recommend modifications as applicable. - Incorporate strategic planning in all areas of responsibility, collaborating with internal business partners to define and execute strategy or direction. - Participate in leading overall strategic direction and execution of data, analytical and reporting capabilities, tools, outputs, insights and business/clinical interpretation and advisory services. - ALL LEVELS - Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels. - The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements. - Perform all other duties as assigned. Benefits - AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group.

• Managing and growing a team of data scientists focused on modeling key business problems. • Mentoring and guiding team members as they build out quantitative models in python using industry-standard techniques. • Evangelizing the data science team’s capabilities and integrating with product, engineering and operations teams to build a roadmap and backlog of data science solutions with business impact. • Running quarterly planning with the engagement of business stakeholders to ensure that the team is running in the right direction. • Helping lead the team’s adoption of AI-assisted development and agentic workflows, including identifying practical use cases, setting working norms, and ensuring these tools are used with appropriate review, validation, privacy, and quality standards. • Working closely with our Modeling Engineer to optimize and improve our infrastructure for model research, development and deployment.