Role Description Apaixonados por tecnologia, nossa missão é potencializar o mercado automotivo através da inovação, impulsionando negócios e realizando sonhos. Com nossas soluções, revolucionamos e descomplicamos a relação entre vendedores e compradores de carros, motos e caminhões. Em 2021 nossa marca evoluiu, se juntou ao Banco PAN e ao Grupo BTG, ganhando novas cores, reafirmando o nosso compromisso com a qualidade, transparência e a melhor experiência de nossos clientes. - Desenvolvimento de análises, modelos e produtos de IA, atuando desde a preparação dos dados até o deploy, monitoramento e manutenção dos modelos/produtos de IA em produção; - Colaborar na construção de pipelines escaláveis de dados, IA e ML, garantindo eficiência, reprodutibilidade e confiabilidade; - Contribuir com a operacionalização de modelos e produtos de IA, incluindo versionamento, testes, documentação, monitoramento e melhoria contínua; - Participar da evolução da plataforma de dados e IA, propondo e implementando melhorias arquiteturais, automações e boas práticas de engenharia; - Apoiar com análises exploratórias quando necessário, com foco em viabilizar soluções robustas e produtíveis. Qualifications - Formação superior completa em cursos de Exatas ou TI (Ciência da Computação, Engenharia, Estatística, Sistemas de Informação ou áreas correlatas); - Experiência prática com modelos de machine learning ou projetos de IA, foco na implementação em produção; - Bons conhecimentos em Python e SQL, com experiência no desenvolvimento de código modular, testável e escalável; - Experiência com construção e manutenção de pipelines de dados e/ou ML e/ou IA; - Vivência com manipulação de dados em grande volume (Spark/PySpark é um diferencial); - Conhecimento em ambientes de nuvem, preferencialmente GCP (BigQuery, Vertex AI, Cloud Storage, etc.), com foco em deploy e operação de soluções; Benefits - Vale Refeição e Vale Alimentação IFood Benefícios (um saldo bem bacana $); - Vale Transporte; - Participação nos Lucros e Resultados (PPR) com base em avaliação de desempenho; - Convênio médico com plano apartamento (sem desconto mensal + coparticipação); - Inclusão de dependentes no convênio médico, sem custo adicional; - Plano odontológico sem desconto mensal; - Empréstimo consignado; - Acesso ao GymPass para benefícios em academias e atividades físicas; - Day Off no aniversário para celebrar seu dia com liberdade; - Parceria exclusiva com o SESC para programas culturais e de lazer; - Seguro de Vida para maior segurança e tranquilidade.

Role Description Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. The AI Products Data Science org is at the center of next generation products within Figma. This is a full time role that can be held from one of our US hubs or remotely in the United States. - Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and impact measurement. - Champion data quality, accessibility, and the democratization of data across the company. - Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization. - Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact. Qualifications - 5+ years of experience managing and leading high-output data science teams, including scaling teams in high-growth environments. - 7+ years of experience in Analytics, Data Science, or a related field, with experience working on AI tools or collaborative software. - Strong foundation in statistical methods, experimentation, and/or forecasting. - Technical curiosity with a willingness to continuously learn and grow alongside your team. - A demonstrated desire to build an inclusive and diverse culture. Requirements - While not required, it’s an added plus if you also have experience owning 0 to 1 product areas. - Experience growing junior data science leaders. Benefits - Equity to employees. - Competitive package of additional benefits, including health, dental & vision. - Retirement with company contribution. - Parental leave & reproductive or family planning support. - Mental health & wellness benefits. - Generous PTO and company recharge days. - Learning & development stipend. - Work from home stipend. - Cell phone reimbursement. - Sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. The listed range is a guideline, and the range for this role may be modified based on various factors. Annual Base Salary Range: $235,000 — $348,000 USD Company Description At Figma, we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product, and our community to flourish. Figma is an equal opportunity workplace. - Dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. - We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

• Model Development and Implementation: Build, train, and validate machine learning models, applying advanced classification techniques and Natural Language Processing (NLP) to solve complex business problems. • Work with Languages and Libraries: Use Python and libraries such as scikit-learn, pandas, and numpy, as well as NLP frameworks, to develop efficient and scalable solutions. • Integration of Generative AI and LLMs: Work with Large Language Models (LLMs) and Generative AI, using APIs and prompt engineering techniques to evaluate and integrate responses into analytical pipelines. • Cloud Infrastructure Management: Operate in cloud computing environments, especially using AWS, S3, SageMaker, and Glue, to optimize data and machine learning workflows. • Solution Architecture: Design and implement end-to-end solutions, creating analytical pipelines and integrating models into production environments to maximize operational efficiency.

• Leverage data to solve a wide variety of meaningful, business problems. • Partner closely with Engineering, PM, and Care Operations to define strategy. • Design and implement frameworks to measure data product effectiveness. • Research operational problems and identify solutions. • Lead design, implementation, and evaluation of models. • Champion usage of LLM-driven workflows across the company.