Vaga de parceiro

Senior Data Scientist, Risk - São Paulo / SP

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses.
  • Tens of thousands of companies from startups to enterprises including DoorDash, Flexport, and Compass use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
  • Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.
  • Were committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.
  • We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
  • Engineering at Brex The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users.
  • We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work.
  • Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential.
  • The Risk Data Science team leverages data and AI to manage financial risk (fraud, money laundering, and credit), striking a balance between mitigating those risks and creating a positive experience for our customers.
  • What youll do Our Data Scientists are responsible for the entire model development lifecycle from conception with stakeholders, developing the model in a notebook, putting it into production, and circling back with stakeholders to make product or strategic decisions.
  • Responsibilities Drive Data & AI solutions from inception to deployment to efficiently manage risk Be responsible for the full machine learning lifecycle: data acquisition, model design, training, productionization, and monitoring Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit) Requirements 4+ years of experience in Data Science/ML roles Expertise with Python programming, SQL queries, and ML-related frameworks Previous experience in the Risk domain (Fraud, AML, and/or Credit) Strong communication and interpersonal skills English proficiency/fluency, both written and speaking (note: interviews will be conducted in English) Must be willing to work in office 2 days per week on Wednesday and Thursday.

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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