• Liderar a evolução da jornada de trial, com foco em aquisição e conversão de usuários em clientes, identificando e removendo fricções ao longo da experiência • Analisar profundamente o comportamento dos usuários durante os primeiros momentos no produto, buscando entender o que acelera (ou bloqueia) a percepção de valor • Identificar oportunidades de crescimento a partir de dados quantitativos e qualitativos, conectando insights a iniciativas práticas • Conduzir discovery contínuo para encontrar problemas relevantes na jornada de aquisição, evitando otimizações superficiais • Definir, priorizar e executar experimentos de growth com foco em impacto em métricas de ativação e conversão • Estruturar hipóteses claras, acompanhar testes (A/B ou não) e garantir análise consistente dos resultados e aprendizados • Atuar de forma próxima com design, engenharia, dados e growth para construir experiências simples, intuitivas e orientadas à conversão • Garantir que os experimentos e iniciativas estejam conectados a uma estratégia de crescimento consistente, e não apenas a ganhos pontuais • Evoluir continuamente a experiência de onboarding e primeiros usos, tornando o produto mais autônomo, guiado e eficiente para novos usuários • Monitorar e acompanhar métricas-chave da jornada de aquisição (ex: ativação, engajamento inicial, conversão de trial), propondo ajustes rápidos sempre que necessário • Comunicar aprendizados, resultados e direcionamentos para stakeholders, fortalecendo a cultura de decisão orientada a dados • Contribuir para a evolução da maturidade de Product-Led Growth no time, ajudando a transformar aprendizados em direcionamentos estruturais de produto

• Develop optimization models using Operations Research techniques, with a focus on Mixed-Integer Linear Programming (MILP); • Apply mathematical techniques to solve complex business problems; • Conduct technical and economic feasibility studies; • Apply Net Present Value (NPV) concepts in financial analyses; • Work on process modeling involving reaction stoichiometry; • Develop and integrate solutions via APIs; • Ensure code quality through unit tests and test coverage; • Operate in cloud environments and collaborate with agile teams.

• Lead and mentor a high-performing team of Data Scientists, providing technical guidance and supporting their professional development. • Own the end-to-end lifecycle of ML models—from data exploration and prototyping to deployment and monitoring. • Partner with Product, Engineering, and Business teams to translate complex business problems into actionable data science projects. • Maintain high standards for code quality, documentation, and model validation; conduct rigorous peer reviews. • Lead the design and analysis of A/B tests and experimentation frameworks to measure the impact of new features. • Work with Data Engineering to ensure our data pipelines and infrastructure support high-velocity model iteration. • Communicate technical results to non-technical stakeholders, ensuring data insights drive day-to-day business decisions.

Role Description Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. - Designs and develops statistical methods to evaluate and analyze numerical data using computer software, including MS Access, MS Excel, SAS, Oracle, SQL and/or other applications, for assigned projects. - Develops algorithms, models and/or projects. - Designs and develops innovative analytical approaches and predictive modeling techniques for reactive or proactive data analysis, statistical modeling, data mining, sampling, and study design. - Develops trend reports to identify potential program or systematic vulnerabilities. - Produces and submits required reports according to established time guidelines and maintains records according to quality management system requirements. - Communicates effectively with management, investigators, other Statisticians, as well as internal and external clients, including federal law enforcement offices, to provide reactive and proactive case development support and to fulfill law enforcement data requests. - Develops data analysis techniques to detect aberrancies in claims data and proactively seeks out and develops leads and cases received from a variety of internal and external sources. - Prepares, develops, and participates in variance training that pertains to different types of data analysis. - Validates data analysis results and analytically identifies violations of laws, guidelines, policies, and regulations. - Serves as a mentor to less experienced Data Analysts. - Provides guidance and leadership for the Data Analysis Unit, including assignment and monitoring of data analysis issues/workloads. - Develops, implements and ensures compliance with written procedures for the Data Analysis Unit. - Complies with various guidelines and directions regarding data analysis and data management. - Meets quality and production standards. - Coordinates data analysis activities for all internal and external stakeholders, including law enforcement and other analysts. Qualifications - Bachelor’s Degree in Statistics, Mathematics, BioStatistics, or a closely related field and/or quantitative field, such as Computer Science, Computer Engineering or Management Information Systems. - Statistical analysis experience, which may be gained during academic studies. - Experience using MS Excel, SAS, SQL and/or other applications to perform various types of data analysis, which may be gained during academic studies. - Strong oral and written communication skills, including presentation skills, and proficiency in performing multiple tasks in a changing environment. - Demonstrated ability to meet deadlines while working on multiple projects. Requirements - V: 10-15 Years Company Description Empower AI is proud to be recognized as a 2024 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company’s commitment to hiring and supporting active-duty and veteran employees. All hiring and promotion decisions at Empower AI are based on merit to bring the best talent available to contribute to our firm’s overall success. It is the policy of Empower AI not to discriminate against any applicant for employment, or employee because of age, color, sex, disability, national origin, race, religion, or veteran status. Empower AI is a VEVRAA Federal Contractor.