Estamos em busca de pessoas fascinadas por criar um futuro melhor, que sejam inquietas, tenham coragem para desafiar o comum, que valorizem a diversidade de ideias e acreditem no potencial transformador da colaboração verdadeira. Sabemos que muitas pessoas — especialmente mulheres — só se candidatam a uma vaga se sentem que cumprem 100% dos requisitos. Se esse for o seu caso, queremos te encorajar a se inscrever mesmo assim. Aqui, valorizamos trajetórias diversas e aprendizados ao longo da jornada. Junte-se a nós na busca por um mundo com novas inteligências. A pessoa nessa posição é responsável por garantir a coleta, processamento, armazenamento e disponibilidade de dados de alta qualidade para impulsionar modelos de IA e fornecer insights acionáveis para clientes e stakeholders. Trata-se de um papel de liderança técnica, que combina a execução de projetos complexos de ciência de dados com a mentoria do time e a coordenação de esforços de Pesquisa e Desenvolvimento (P&D) para promover a inovação. Esse propósito se traduz, na prática, nos seguintes Jobs to Be Done: Liderar a estratégia e execução de Ciência de Dados - Liderar equipes em projetos complexos, orientando e mentorando membros do time; - Propor e implementar estratégias para melhorar processos e práticas internas de ciência de dados; - Decidir quando um modelo está pronto para produção e definir como monitorá-lo. Desenvolver modelos de IA de ponta a ponta - Desenvolver modelos utilizando técnicas de IA (estatística, machine learning e deep learning), desde a coleta e tratamento até a engenharia de features; - Implementar algoritmos de aprendizado supervisionado e não supervisionado, otimizando-os para performance e eficiência; - Encapsular modelos em APIs robustas, fáceis de usar e bem documentadas. Transformar grandes volumes de dados em valor - Coletar, processar e analisar grandes volumes de dados estruturados e não estruturados para identificar padrões e tendências; - Criar visualizações que elucidem as decisões tomadas e a qualidade dos modelos desenvolvidos. Atuar como ponte entre tecnologia e negócio - Facilitar a comunicação entre diferentes departamentos e alavancar o potencial de equipes multidisciplinares; - Interface direta com clientes e parceiros para levantamento de requisitos técnicos, especificação de arquitetura de modelos e apresentação de resultados. Sustentar a cultura de inovação da Kunumi - Manter-se atualizado com as últimas tendências e avanços em ciência de dados e IA; - Atuar de forma colaborativa e alinhada ao "jeito Kunumi": autonomia, responsabilidade compartilhada e diálogo aberto. O que é esperado de você - Liderança Técnica: Experiência sólida liderando projetos e equipes técnicas. - Domínio de Programação: Proficiência em Python (preferencial), R, SQL e bibliotecas como TensorFlow, PyTorch e Scikit-Learn. - Ambiente de Desenvolvimento: Experiência de desenvolvimento em ambiente Linux. - Experiência Prática: Aplicação real de métodos estatísticos e algoritmos de ML para resolver problemas complexos. - Visualização de Dados: Experiência com ferramentas como Tableau, Matplotlib ou Seaborn. O que pode ser um diferencial - Big Data: Familiaridade com tecnologias de armazenamento e processamento como Hadoop, Spark e NoSQL. - Pesquisa Aplicada: Experiência anterior coordenando esforços de P&D. - Visão de Produto: Capacidade de traduzir limitações técnicas em soluções de negócio para clientes SOBRE A KUNUMI Na Kunumi, a curiosidade é nossa força motriz na busca incansável por conhecimento e pela coragem de desafiar o convencional. Acreditamos que a diversidade de pensamentos e perspectivas é fundamental para criar soluções únicas e impactantes. Nossa cultura é pautada pela valorização das pessoas, do cuidado com o legado que deixamos e pela constante busca por resultados elegantes em meio a desafios complexos. Aqui, cada voz é ouvida, cada ideia é valorizada e cada conquista é celebrada em conjunto. Somos agentes de mudança que almejam promover uma transformação positiva na sociedade por meio da Inteligência Artificial. Acreditamos no potencial humano e na capacidade de atuar como catalisadores para um futuro mais equilibrado. BENEFÍCIOS - Cultura dinâmica, diversa e focada no crescimento conjunto; - Trabalho em ambiente remoto com horário flexível; - Suporte home-office (ajuda de custo, cadeira, headphones, laptop, entre outros); - Plano de saúde premium e dental para você e seus dependentes, sem mensalidade; - Alimentação (cartão flexível); - Licença parental estendida - Assistência a Filhos; - Auxílio para Filhos(as) com Deficiência; - Seguro de Vida; - Programas de promoção à Saúde - mental, física e emocional - Parceria Wellhub - Plano Gold gratuito - Recesso remunerado de final de ano - Kunumi Day mensal - Toda segunda sexta-feira do mês ficamos off SOBRE O PROCESSO Depois de enviar sua inscrição, você receberá um email de confirmação. Acreditamos que a diversidade promove a criatividade e acelera resultados positivos, portanto, consideramos todos os candidatos não somente pela qualificação técnica, mas também como nos complementa como grupo. Conheça a nossa Política de Tratamento de Dados de Candidatos

• Apply knowledge of CMS programs, data, and technology platforms to develop and deliver code and data products in support of CMS Medicaid projects. • Develop technical solutions for complex problems through ingenuity and innovation. • Work collaboratively across a cross-functional team. • Deploy processes for quality assurance of code and requirements in analytics delivery including defect tracking and specification traceability following agile project management principles for technical work. • Provide support across the data lifecycle including data acquisition, analysis, visualization, and automation. • Support data modernization efforts and develop/improve automated data workflows. • Develop and maintain code in Python, SQL, and PySpark using version control (Git) software. • Eventually lead tasks, including organizing work plans and delegating work, with minimal supervision.

• Model Development: Design and deploy scalable ML models to detect fraudulent listings, and harmful chat behavior. • Multimodal Detection: Build systems that analyze the relationship between ad images and descriptions to identify discrepancies or hidden "Easter eggs" used by bad actors. • Adversarial Defense: Stay one step ahead of scammers by identifying new patterns and rapidly iterating on features to close loopholes in our moderation logic. • Human-in-the-Loop (HITL): Optimize the routing of "gray area" content to manual moderators, ensuring high precision while minimizing the workload for our operations team. • Strategy & Impact: Define the North Star metrics for safety and communicate technical trade-offs to product and other stakeholders.

Title: Statistician II Location: Wake County United States Job Description: Agency Dept of Health and Human Services Division Public Health Job Classification Title Statistician II (NS) Position Number 60041434 Grade NC19 About Us The North Carolina Department of Health and Human Services (DHHS) is one of the largest, most complex agencies in the state, and has approximately 17,000 employees. It is responsible for ensuring the health, safety, and well-being of all North Carolinians, providing human service needs for special populations including individuals who are deaf, blind, developmentally disabled, and mentally ill, and helping poor North Carolinians achieve economic independence. Description of Work The Statistician II position performs independent, highly technical statistical analysis and data management to support cancer reporting, research, and statewide public health surveillance. It provides advanced analytical expertise using SAS and other statistical methods to prepare, interpret, and submit complex cancer datasets for national programs and internal stakeholders. This role operates within established guidelines while managing multifaceted data workflows, special studies, and quality assurance processes that influence statewide program planning. It collaborates with internal and external partners to improve data completeness, accuracy, and utility for public health action. It also produces specialized reports and publications that support cancer surveillance, prevention initiatives, and ongoing analytical needs across the agency. Key Duties Include: - Perform complex statistical analysis and data management to support cancer registry operations, including annual data submissions to national programs. - Develop and maintain advanced SAS programs to create datasets, conduct data linkages, and ensure accuracy and completeness of cancer information. - Manage analytical workflows supporting survival analysis, case identification, and evolving statistical or epidemiological modeling needs. - Respond to routine and complex statistical and research requests by producing custom datasets, ad hoc reports, and clear analytical interpretations. - Conduct special studies and investigations related to unusual cancer patterns, environmental concerns, or emerging analytical issues. - Produce public-facing and internal cancer surveillance publications, including incidence and mortality statistics, trend analyses, and county-level profiles. - Ensure adherence to national cancer reporting standards, coding systems, confidentiality rules, and data suppression requirements. - Collaborate with internal teams and external partners to resolve data quality issues and improve registry processes and reporting efficiency. - Prepare technical documentation, analytical summaries, and presentations to support program planning and stakeholder communications. - Maintain current knowledge of national guidelines and participate in state, regional, or national professional meetings as funding permits. Knowledge Skills and Abilities/Management Preferences Salary Range: $67,122.00 - $117,465.00 Recruitment Range: $67,122.00 - $77,030.00 Candidates now meet the minimum qualifications of a position if they meet the minimum education and experience listed on the vacancy announcement. The Knowledge, Skills, and Abilities (KSAs)/ Management Preferences are not required. Applicants who possess the following skills are preferred: - Expert‑level SAS programming experience performing large‑scale data management, including dataset creation, data manipulation, format conversion, and multi‑source linkage to support cancer registry operations. - Demonstrated proficiency conducting advanced statistical analyses such as regression modeling, survival analysis, standardized rate calculations, and trend assessments for public health reporting. - Documented experience producing analytical reports, tabular summaries, graphical outputs, and narrative interpretations that clearly communicate cancer incidence, mortality, and related epidemiologic findings. - Proven track record managing high‑volume data submission workflows, including preparing national cancer reporting datasets and meeting strict deadlines for annual submissions and special studies. - Strong operational experience resolving data quality issues through systematic review, validation checks, and collaboration with internal teams and external reporting partners to improve dataset completeness and accuracy. The Posting Will Close At 11:59 P.M. The Night Before The End Date This Position Is Federally Funded This Position Is Eligible For A Hybrid Work Option About the NC Division of Public Health (DPH): The NC Division of Public Health works to promote and contribute to the highest possible level of health for the people of North Carolina. Our entire statewide system of public health has dedicated professionals who carry out our mission every day through a wide range of essential and activities touching the lives of everyone in our state. About the State Center for Health Statistics (SCHS): The North Carolina State Center for Health Statistics is a part of the Division of Public Health and is responsible for data collection, health-related research, and production of reports and maintenance of a comprehensive collection of health statistics. We provide high quality health information to ensure more informed decision-making and effective health policies. Our goal is to improve the health of all North Carolinians and their communities. About the North Carolina Central Cancer Registry (CCR): The North Carolina Central Cancer Registry (CCR) is a population-based reporting system that serves as the sole repository of complete cancer incidence data for the State of North Carolina. The CCR collects, processes and analyzes data on all cancer cases diagnosed among North Carolina residents. This information furthers our understanding of cancer and is used to develop strategies and policies for its prevention, treatment, and control. The CCR is recognized as one of the leading cancer registries in the U.S. and has been the cornerstone of a substantial amount of research on cancer in the North Carolina population. Compensation and Benefits: The State of North Carolina offers excellent comprehensive benefits. Employees can participate in health insurance options, standard and supplemental retirement plans, and the NCFlex program (numerous high-quality, low-cost benefits on a pre-tax basis). Employees also receive paid vacation, sick, and community service leave. In addition, paid parental leave is available to eligible employees. Visit the website for State Benefits. Supplemental Contact Information: The North Carolina Department of Health and Human Services (DHHS) is an Equal Opportunity Employer that embraces an Employment First philosophy, which consists of complying with all federal laws, state laws, and Executive Orders.  We are committed to reviewing requests for reasonable accommodation at any time during the hiring process or while on the job.  For more information about DHHS:  https://www.ncdhhs.gov/. DHHS uses the Merit-Based Recruitment and Selection Plan to fill positions subject to the State Human Resources Act with the most qualified individuals.  Hiring salary will be based on relevant qualifications, internal equity, and budgetary considerations pertinent to the advertised position. In accordance with the Governor's Executive Order 303, our agency supports second-chance employment for individuals who were previously incarcerated or justice-involved.  We invite all potential applicants to apply for positions for which they may be qualified. ADA Accommodations Consistent with the Americans with Disabilities Act (ADA) and the Pregnant Workers Fairness Act (PWFA), DHHS is committed to the full inclusion of all qualified individuals. As part of this commitment, DHHS will ensure that people with disabilities, or known limitations covered by the PWFA, are provided with reasonable accommodation.  If reasonable accommodation is needed to participate in the job application or interview process, please contact the person indicated below. Minimum Education and Experience Some state job postings say you can qualify by an "equivalent combination of education and experience." If that language appears below, then you may qualify through EITHER years of education OR years of directly related experience, OR a combination of both. See the Education and Experience Equivalency Guide for details. Doctoral degree in statistics, mathematics, data science, data analytics, psychometrics or measurement and evaluation from an appropriately credited institution OR Master's degree in statistics, mathematics, data science, data analytics, psychometrics or measurement and evaluation from an appropriately credited institution including Doctoral course work and experience equal to two years in study design and data analysis OR Bachelor's degree in statistics, mathematics, data science, data analytics, psychometrics or measurement and evaluation from an appropriately credited institution and four years of experience in study design and data analysis OR An equivalent combination of education and experience. EEO Statement The State of North Carolina is an Equal Employment Opportunity Employer and dedicated to providing employees with a work environment free from all forms of unlawful employment discrimination, harassment, or retaliation. The state provides reasonable accommodation to employees and applicants with disabilities; known limitations related to pregnancy, childbirth, or related medical conditions; and for religious beliefs, observances, and practices.