Vaga de parceiro

Senior Data Scientist - São Paulo / SP

Disponível para Assinantes
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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

  • The seniority will be set ranging from mid-level of an associate to senior depending on the university degrees, experience of the applicant in data mining, data analyses, lead/provide tactical direction and oversight of project team''s work, etc.
  • LexisNexis Risk Solutions is the trusted data analytics provider for organizations seeking actionable insights to manage risks and improve results.
  • Our Risk Business Analytics family contains over 100 data scientists in a fast-paced environment.
  • We are innovators, passionate about challenging the status quo, and improving outcomes.
  • Qualifications: Bachelors degree in statistics, computer science, engineering, mathematics, or actuarial science.
  • Experience in data manipulation, cleansing and use/creation of relational databases.
  • Ability to learn quickly, work with a team, and communicate effectively.
  • Advanced English and fluent in Portuguese.
  • Pluses: Created attributes for statistical modeling.
  • Analyzed and modeled for projects in the risk/fraud fields.
  • Managed data analysis projects.
  • Worked with a programming language and system to execute parallel processes.
  • Strong oral and written communication skills, including the ability to describe technical results to non-technical audiences.
  • Accountabilities: Works across business/teams to collect, match, and consolidate data.
  • Perform data analysis for assigned business including design and development of solutions.
  • Make process and/or system improvement recommendations to assist the business in achieving its goals and objectives.
  • Clearly summarize, document, and communicate/present analytic work and/or results to internal and external clients, and analytic and non-analytic stakeholders.
  • Create attributes, optimize code and data mine in a LexisNexis Risk Solutions programming language and system (HPCC/ECL) for clusters.
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Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado