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Cientista de Dados Sênior - Vaga Afirmativa para Mulheres

Work from home Full-time role Hiring

Será responsável por pesquisar, aplicar e modificar soluções para atender às necessidades do negócio, entregando resultados. A candidata deve usar a estatística e programação em Python como ferramentas para o desenvolvimento de soluções analíticas antifraude, realizar análises em portfólios identificando oportunidades de atuação e melhorias, montar apresentações de resultados e discuti-los com clientes internos ou externos. Irá compor um time bastante diverso e que interage bastante e espera-se que consiga trabalhar muito bem em equipe.

Experiência em:

  • Utilização de Estatística e Modelagem preditiva
  • Avaliação de resultados e simulação de cenários em portfolios, fazendo recomendações
  • Utilização de Analytics para resolução rápida de problemas
  • Elaboração de apresentações
  • Experiência com Machine Learning / Python
  • Manipulação, processamento, análise e interpretação de dados.
  • Utilização de dados entre diferentes ambientes
  • Conhecimento de Estruturas de bases de dados

Habilidades:

  • Pensamento analítico, conhecer as técnicas de Machine Learning e ferramentas estatísticas existentes (amostragem, regressão logística) e conseguir absorver novas técnicas
  • Capacidade de Planejamento e priorização de tarefas próprias
  • Simplificar e compartilhar técnicas e resultados com o time e clientes (Como fazer)
  • Facilidade de aprender e pesquisar sobre diversos assuntos
  • Tomar decisões com análise crítica
  • Construir conexões positivas, criar alianças e trabalhar colaborativamente com outras áreas e pares do time
  • Bom humor e equilíbrio emocional
  • Questionar e ouvir
  • Trabalhar em equipe (Muito importante)
  • Integridade
  • Criatividade aplicada a entrega
  • Trazer e aplicar novas tecnologias
  • Gerenciar múltiplas prioridades
  • Simplificar conceitos complexos
  • Estatística, Python, Machine Learning, Análise de dados, visão analítica.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Originally posted on Himalayas

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