Data Scientist

Há 2 dias

São Paulo, São Paulo, Brasil Remitly Tempo inteiro R$90.000 - R$120.000 por ano

This position exists to conduct data handling and quality analyses. 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 fast-paced environment. We are innovators, passionate about challenging the status quo, and improving outcomes. 

Qualifications: 

  • Bachelor's degree in statistics, computer science, engineering, mathematics, or actuarial science. 

  • Experience in data manipulation, cleansing, useof relational databases and modelling. 

  • Ability to learn quickly, work with a team, and communicate effectively. 

  • Advanced English and fluent in Portuguese. 

  • Strong oral and written communication skills, including the ability to describe technical results to non-technical audiences.

  • Provide Customer Support for clients in APAC and EMEA .

Pluses: 

  • Experience in creating attributes for statistical modeling. 

  • Experience in modelling projects in the risk/fraud fields. 

  • Experience in managing data analysis projects. 

  • Experience in programming language and system to execute parallel processes. 

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. {Empty}



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