• Collaborate with stakeholders across product and growth marketing to analyze and communicate how trends in key metrics affect business performance • Partner with product teams to perform deep-dive analysis to understand user engagement behavior • Design, implement and analyze experiments to measure the impact of new features on core product metrics • Collaborate with partners across technical and non-technical teams to bridge the gap between data and action • Help key-decision makers stay informed about the state of the business through internal data products built in tools like Amplitude, Tableau and Mode • Develop strong cross-functional partnerships across Calm to drive our team's success

Role Description Leads advanced analytics initiatives that transform complex data into strategic insights and measurable business impact. Oversees the design and execution of predictive modeling, machine learning, and statistical studies that forecast outcomes, inform decisions, and drive operational excellence. Applies deep technical expertise in tools such as SAS, SQL, R, Python, and Tableau to identify trends, variances, and opportunities for improvement, ensuring analyses are clear, actionable, and aligned with organizational priorities. Partners with senior leadership and research teams to uphold scientific rigor in study design, data validity, and methodological integrity, establishing scalable analytic practices that strengthen quality, efficiency, and innovation across the enterprise. Essential Functions - Leads the design and implementation of advanced data analysis strategies, including statistically sound sampling methodologies, predictive modeling, and trend analysis to identify opportunities, variances, and outliers that drive quality improvement and focused investigations. - Develops and applies epidemiologically sound indicators and benchmarks to assess performance and quality of care, ensuring analyses align with established standards and comparative frameworks. - Mentors junior data analysts and scientists in advanced methodologies, coding practices, and statistical interpretation, fostering technical growth and methodological rigor across the team. - Designs and implements high-performance algorithms and machine learning models within distributed computing environments, ensuring scalability, efficiency, and scientific accuracy. - Drives the development of innovative data science solutions and formulates strategic data initiatives that align with organizational objectives and competitive priorities. - Applies deep domain expertise and advanced modeling techniques to integrate complex data from diverse sources, producing actionable insights and solutions for high-impact business and healthcare challenges. - Leads research and innovation initiatives within the data science community, contributing to open-source projects, developing white papers, and promoting thought leadership through knowledge sharing and collaboration. - Develops and oversees the creation of technical reports, analytic studies, and quality improvement publications, ensuring accuracy, clarity, and defensibility of methodologies and results. - Designs and evaluates intervention strategies and re-measurement methodologies to assess the impact of quality improvement initiatives, translating data findings into practical recommendations. - Collaborates with cross-functional leaders to communicate complex data science results in a clear, actionable manner, aligning analytical outcomes with strategic decision-making and long-term organizational goals. Qualifications - Bachelor's Degree required; Master's Degree in Statistics preferred. Requirements - 8 - 11 years required; 12 - 14 years preferred. Benefits - Qlarant is an Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individuals with Disabilities. - Qlarant is a drug-free workplace. All offers of employment are contingent upon successful completion of pre-employment background and drug screens.

• Desenvolver, treinar e implantar modelos de Machine Learning e IA Generativa. • Trabalhar com LLMs e arquiteturas RAG (Retrieval-Augmented Generation). • Avaliar e otimizar soluções considerando custo, latência e qualidade das respostas. • Construir pipelines de ingestão e processamento de dados textuais utilizando bancos vetoriais. • Desenvolver APIs e aplicações de IA com LangChain, LangGraph, OpenAI e AWS Bedrock. • Desenvolver soluções de Visão Computacional para classificação de imagens, detecção de objetos e segmentação semântica. • Criar e sustentar pipelines de dados, modelos e aplicações de IA em produção. • Atuar com serviços AWS e Azure para desenvolvimento de soluções escaláveis. • Garantir qualidade, segurança, performance e governança das soluções. • Apoiar Product Owners e stakeholders na definição técnica das iniciativas. • Participar de cerimônias ágeis e colaborar com times multidisciplinares.

• Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products. • Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions. • Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions. • Establish and maintain best practices for data collection, analysis, and reporting. • Deliver actionable insights and recommendations focused on landing tangible product impact. • Help foster a culture of data-driven decision-making and continuous improvement within the product teams. • Ensure the integrity and accuracy of the data used for analysis and reporting. • While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable.