Sobre o Programa < Elas são Tech/> é um Programa voltado para mulheres da área de dados com uma proposta de recrutamento que reúne aprendizado, desafios e oportunidades reais de trabalho no qual todas as entrevistas são realizadas durante duas semanas com um time incrível de FoodLovers para você conhecer. O programa está em uma nova edição com foco em talentos que queiram dar uma impulsionada na carreira no universo de dados e inteligência artificial. O < Elas são Tech/> não exige formação a nível de graduação, é só ter experiência prática na área de dados e cumprir todos os requisitos informados abaixo. Área de atuação Inteligência Artificial é o futuro da inovação tecnológica, e este espaço busca reunir profissionais com experiência prática que trabalham com dados e estão prontas para enfrentar desafios técnicos com IA e Machine Learning. Como Data Scientist, você irá trabalhar com soluções práticas, ajudando a Alimentar o Futuro do Mundo por meio de transformar tecnologia em impacto direto na vida de milhões de pessoas diariamente! Esse encontro é uma oportunidade para aprender e compartilhar conhecimento além de explorar novas possibilidades para dar o seu próximo passo de carreira. Etapas do Programa - Período de Inscrição: 14/04 - 04/05 - Cases Técnicos: 20/04 - 04/05 - Webinar - Elas são Tech: 23 ou 24/04 (online) - Entrevistas People: 11/05 - 15/05 - Entrevistas Técnicas: 18/05 - 25/05 - Feedback e Ofertas: 25/05 - 01/06 - Expectativa de entrada no iFood: 08/06 *apenas aprovadas nos requisitos de inscrição avançam para a etapa de Cases Técnicos. Requisitos - Ser uma pessoa apaixonada por ciência de dados e tecnologia; - Experiência prática em desenvolvimento e implantação de modelos de Machine Learning; - Conhecimento em programação (Python); - Familiaridade com conceitos de Deep Learning e NLP; - Familiaridade com frameworks de orquestração (ex: LangChain, LangGraph, etc), bancos vetoriais e técnicas de RAG; - Base em MLOps: Experiência com monitoramento de modelos, versionamento de dados e ferramentas de deploy (Docker, Kubernetes, Cloud providers, etc); - Conhecimento em Cloud (AWS, GCP ou Azure); Programação dos Eventos 23 ou 24 de abril - Webinar - Elas são Tech - Online - Estaremos lá para que você conheça cases de dados e IA do iFood, conecte-se com nossa cultura e ouça depoimentos de FoodLovers da área de dados contratadas em edições anteriores. Esse evento é aberto para todas da área de dados interessadas em falar mais sobre carreira e nossa cultura. 11 de maio até 25 de maio - Hiring Weeks - Remoto - Durante esses dias, com datas marcadas previamente, você conhecerá nosso time de people e apresentará para nosso time técnico o case que executou. Inscreva-se já! Prepare-se para dar o próximo passo na sua carreira! Faça parte do nosso universo e se conecte com pessoas inspiradoras, mostre seu talento e conquiste oportunidades incríveis. Inscreva-se agora e venha transformar o futuro da tecnologia!

• Own core Search metrics and funnels end to end (e.g., query → impression → engagement → cart adds), including defining guardrails, monitoring performance across platforms and segments, and diagnosing conversion gaps. • Design, run, and interpret experiments across ranking, retrieval, and search UX (e.g., relevance model changes, query understanding, result layouts), turning ambiguous or conflicting outcomes into crisp, data-driven recommendations. • Partner with Product, Engineering, and ML to prioritize opportunities, size impact, and influence the roadmap for relevance, quality, and latency improvements that unlock measurable business outcomes. • Build deep diagnostic analyses by query class, price point, surface, and customer lifecycle to pinpoint where and why Search underperforms and specify concrete changes that will move key outcomes. • Connect offline model evaluation with online and business metrics by collaborating with ML partners on evaluation design, ensuring model changes reliably improve end-user experience—not just offline scores. • Improve data quality, instrumentation, and metric definitions for Search so that teams can reason about performance with clarity, consistency, and speed.

Role Description As a Senior Clinical Data Manager, you will ensure that data captured in multiple clinical trials undertaken or managed by Indero is collected, managed, and reported clearly, accurately, and securely. This role will be perfect for you if: - You want to work on studies end-to-end (involved from protocol review to database lock). - You have the experience and confidence to lead multiple concurrent studies successfully as a Data Manager. - You enjoy working directly with clients and forming recommendations as needed. Responsibilities - Data Management lead - Monitor study status (i.e., enrollment, CRFs monitored/approved, etc.) on an ongoing basis. - Present deliverables to clients, gather feedback, and propose solutions. - Provide regular data status reports to the project team. - Oversee work of the Clinical Data Coordinator as required (quality, timeliness). - Oversee vendors to ensure that timelines and deliverables meet sponsor and protocol requirements. - Responsible for ongoing maintenance of the clinical database, including data review/cleaning during study conduct and during preparation for database lock/close. - Conduct reconciliation between external data and data in the EDC system to ensure consistency, including reconciliation with sponsor safety databases for adverse events/SAE (Serious adverse events) data. - Study setup – Technical - Develop the data management plan (DMP). - Build a study-specific clinical database using the EDC system: - Design the electronic case report form (eCRF). - Build the clinical database in the chosen EDC independently or with the support of an EDC programmer (determined based on the complexity of the system and study). - Coordinate the validation and testing (UAT) of the clinical database. - Support the study team with the development of external systems capturing clinical data (ePRO or IWRS), ensuring that any data transfer requirements between these systems and the EDC are documented and tested appropriately. - User training and support - Develop eCRF completion guidelines and other training material. - Conduct training for site users/monitors on the clinical database. - Activate/de-activate new users in the clinical database in response to requests from the project manager and maintain records of such requests. - Respond to users requiring assistance with the EDC system. - Database close/lock - Generate data listings and reports needed for data review in preparation for database close/lock. - Ensure that data management documentation is complete and up to date in the trial master file (TMF). - Archive the clinical database and related documents. Qualifications - B.Sc. or M.Sc. in a related field of study. Requirements - 7 years of clinical data management experience in the pharmaceutical industry or in a CRO environment. - 3 years of experience as a lead data manager. - Extensive experience working with EDC systems (experience with Medrio and Medidata Rave preferred). Knowledge and Skills - Highly organized and detail-oriented. - Project planning and time management skills. - Strong verbal and written communication skills in English. - Understanding of the drug development process and of applicable regulations, including Good Clinical Practices (GCP), ICH Guidelines. - Good understanding of CDISC SDTM/CDASH standards. - Knowledge of MedDRA and WHODrug dictionaries, an asset. Benefits - Flexible work schedule. - Home-based position. - Ongoing learning and development. Company Description Indero is a contract research organization (CRO) specialized in dermatology and Rheumatology. Since its beginnings in 2000, our organization has benefited from a solid reputation for the quality of its research and services exceeding the expectations of its clients. Based in Montreal, Indero continues to grow and expand in North America and Europe. Indero is committed to providing equitable treatment and equal opportunity to all individuals. As such, Indero will provide accommodations throughout the recruitment and selection process to applicants with disabilities, upon request. Indero only accepts applicants who can legally work in Argentina.

• Build and transform new data sources into tables, features, and structures that are easy for the team and our clients to build on • Develop, extend, and validate models — including event-probability models and athleticism models — ensuring data representation supports both current and future use cases • Build metrics and analyses that NHL and NBA clients rely on to make decisions, and support client-facing work by digging into the data to answer their questions directly • Extract meaningful features from high-dimensional tracking and pose data, and update existing models to incorporate new signals as they become available • Validate models and outputs — your own and others' — with enough rigor that the team can trust what ships • Write clear reports that communicate technical work to the product team and broader organization