• Propor, desenvolver e implementar modelos de Machine Learning robustos, escaláveis e performáticos de ponta a ponta; • Implementar modelos de recomendação e personalização; • Desenvolver sistemas de inteligência híbridos, combinando Machine Learning e IA generativa; • Liderar tecnicamente projetos e iniciativas, garantindo a entrega de soluções de alta qualidade; • Interagir com áreas de negócio e de produto, para definir soluções através de uma visão sistêmica e abrangente; • Conduzir análises complexas, extraindo insights valiosos e gerando impacto positivo nos negócios; • Desenvolver e implementar soluções de monitoramento e mensuração de resultados; • Otimizar o tratamento de dados massivos, garantindo eficiência e precisão; • Apoiar outros cientistas de dados, promovendo um ambiente de aprendizado contínuo; • Colaborar com equipes multidisciplinares para integrar soluções de dados em diferentes áreas da empresa; • Manter-se atualizado com as últimas tendências e tecnologias em ciência de dados e IA, aplicando-as para melhorar continuamente os processos e modelos existentes.

• provides technical leadership across the overall Analytics function which may have an enterprise mandate • provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material • develops, maintains, and enhances the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies • supports TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice • seeks talented data scientists to join to innovate, drive, and support initiatives and business as usual operations in multiple functional areas

Role Description This is a rare opportunity to build a new capability from the ground up. You will work on high-visibility problems that sit at the intersection of data science, strategy, business performance, and AI transformation. You will partner directly with leadership, shape how the company measures itself, and build the operating intelligence that helps Busuu make better decisions, faster. - Build a new organisational intelligence capability in a company actively reshaping itself around AI. - Work on problems with direct visibility to the General Manager, leadership team, and cross-functional heads. - Design cutting-edge measurement systems, decision frameworks, and intelligence layers — not just dashboards. - Operate across B2C, B2B, Product, Commercial, and AI initiatives, with broad influence on how the company runs. - Combine deep analytical thinking with real business impact in a role that is strategic, hands-on, and highly visible. We are hiring a Staff Data Scientist to lead Organisational Intelligence within Decision Intelligence. The mission of this role is to help Busuu understand itself as a system: how performance is evolving, where transformation is working or failing, how teams should interpret signals across the business, and what leadership should do next. - Design the measurement architecture, synthesis, and business learning loops that connect data to decisions at company level. - Own the analytical foundation behind monthly and quarterly business reviews. - Define how transformation is measured, establish trusted business metric definitions, and help turn AI governance into an operating reality. Qualifications - 8+ years of experience in data science, analytics, business intelligence, strategy, consulting, or a similar function in a scaled digital, SaaS, consumer tech, subscription, or EdTech business. - Strong experience translating analysis into business decisions, preferably with exposure to executive or leadership-level reporting. - Experience designing performance frameworks, KPI systems, company scorecards, business review processes, or equivalent decision-support systems. - Strong SQL skills and confidence working directly with complex datasets. - Ability to move fluidly between hands-on analytical work and high-level executive communication. - Experience influencing senior stakeholders across functions such as Product, Finance, Commercial, Marketing, Operations, Engineering, or Data. - Strong commercial judgment, including understanding of metrics such as bookings, retention, NRR, funnel performance, LTV:CAC, and unit economics. Requirements - Experience across both B2C subscription and B2B SaaS environments. - Experience in AI, transformation, operating model change, or measurement of organisational effectiveness. - Experience defining semantic logic, metric governance, or business logic in partnership with analytics engineering or data engineering teams. - Experience contributing to board-level, leadership-level, or annual operating narratives. - Python or similar analytical tooling for data exploration, prototyping, and scalable analysis. Benefits - Significant autonomy and broad exposure. - Opportunity to shape a capability that matters to the future of Busuu. Company Description Joining Busuu means being part of one of the top EdTech companies in the world, a multiple award-winner recognised for its innovation and impact in language learning. Busuu’s vision is to empower people through languages. We are the world’s largest online community for language learning, with 120+ million registered users.

Role Description We are looking for a Sr Clinical Data Specialist based in Costa Rica to join our Clinical Data Management (CDM) team and play a key role in delivering high‑quality clinical trial data across a global portfolio. In this role, you will be the subject‑matter expert for local laboratory data, ensuring accurate, timely, and compliant lab data delivery across clinical studies. You’ll work closely with internal teams, CROs, and vendors, contributing to study success from startup through database lock. This is an excellent opportunity for a data management professional located in Costa Rica who enjoys cross‑functional collaboration, vendor oversight, and continuous process improvement. What you’ll do - Lead and oversee local lab data activities for in‑house and outsourced clinical studies - Partner with CROs, vendors, and clinical sites to ensure high‑quality lab data collection, transfer, reconciliation, and query resolution - Support study startup, maintenance, and database lock activities related to local labs - Maintain and manage local lab analytes, LNR entries, and lab data standards - Represent Local Labs Data Management in project team meetings as a subject matter expert - Collaborate with Clinical Operations, Biometrics, Medical, and Regulatory teams - Identify opportunities to improve processes, automation, and data quality - Ensure compliance with ICH‑GCP, FDA regulations, and internal standards Qualifications - Bachelor’s degree (health sciences, life sciences, technology, or related field) or equivalent experience - 3+ years of experience in Clinical Data Management or drug development - Strong knowledge of local lab data management best practices and technologies - Experience working with CROs and external vendors - Solid understanding of clinical trial documents and processes - Ability to manage multiple studies and priorities simultaneously - Strong communication, collaboration, and problem‑solving skills - Experience with NDA/CTD submissions is a plus Requirements - Must be currently based in Costa Rica Benefits - Work in a collaborative, global environment with high scientific standards - Opportunity to grow your career in Clinical Data Management and drug development - A culture that values innovation, quality, and continuous improvement