Staff Data Scientist - Indaiatuba/SP

Indaiatuba, São Paulo, BR, 13337-300

John Deere

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Trabalhamos para que a vida possa avançar e estamos sempre à procura de pessoas inovadoras que possam contribuir com a nossa missão. Que tal fazer parte do nosso time?

 

Local Principal: Brasil (BR) - São Paulo  - Indaiatuba  
Função: Data & Analytics (CA)
Título: Staff Data Scientist - Indaiatuba/SP - 110892

 

 

Main Responsibilities

  •  Participate in business partner meetings, brainstorming sessions, and workshops to capture business objectives and prioritize opportunities.
  • Identify best analytical techniques and establish frameworks that can be effectively applied to achieve business objectives and interpret next best action through data driven insights.
  • Consume industry and academic research and identify techniques as needed that can further a capability or solve a business opportunity.
  • Develop visualizations to allow business users (e.g. channel partners, marketers, customer service professionals) to leverage the insights;
  • Identify and retrieve structured and unstructured data from new or complex data sources;
  • Explain analytics technique and usage in business terms, communicate value, drive adoption, and inspire action;
  • Serve as technical lead on initiatives and review output of other data scientists on the team;
  • Actively engage in Data & Analytics Leadership initiatives to build analytics capabilities and develop talent;
  • Demonstrated commitment to team success through technical leadership and a proactive, collaborative approach to problem solving.

Skills You Need

  • Bachelor’s degree in quantitative field (e.g statistics, data science, mathematics, economics, computer science);
  • Broad range of distributional regression modeling, neural networks, machine learning, journey analytics, optimization engines, experimental design, complex hypothesis testing among others;
  • Advanced English level is mandatory (written and verbal skills);
  • Experience applying statistical analyses and analytical methodologies on advanced analytics projects in the Marketing and Customer
  • Experience domains, being able to demonstrate the development of algorithms and predictive models to solve business issues;
  • Proficiency in at least one statistical programming language; R or Python AND SQL;
  • Experience with analytics/bigdata platforms and technologies such as DataBricks or Spark;
  • Experience communicating complex, technical information to a non-technical audience.

What Makes You Stand Out

  • Familiarity with cloud services such as AWS;
  • Knowledge of Customer Experience (CX) or User Experience (UX) data usage for insight generation and journey understanding;
  • Knowledge of finance and accounting concepts and financial products;
  • Proven ability to lead teams to achieve objectives;
  • Proven ability to influence without authority;
  • Experience working with Agile Project Teams, Scrum Teams or Product Teams;
  • Master’s degree in quantitative field preferred.

 

Nossos principais benefícios

 

  • Remuneração variável; 
  • Plano de Saúde;
  • Plano Odontológico;
  • Seguro de Vida;
  • Previdência Privada;
  • Benefício Ótica; 
  • Reembolso vacina; 
  • Universidade Corporativa; 
  • Wellhub (Gympass);
  • Dependendo da unidade, você terá restaurante no local, vale refeição ou alimentação;
  • Auxílio farmácia;
  • Entre outros.

  
Nosso Processo Seletivo

 

A seleção começa com a sua inscrição, para algumas vagas, existem alguns testes adicionais. Você terá a possibilidade de conhecer pessoas do time nas entrevistas! Nosso processo seletivo é flexível em termos de tempo, então não se preocupe! Nossa equipe de Talent Acquisition está comprometida em proporcionar a melhor experiência para você. Analisamos todas as candidaturas cuidadosamente e fornecemos feedback em todas as etapas do processo. Além disso, todas as orientações serão enviadas por e-mail!

 

Sobre a John Deere

 

A John Deere é líder global no fornecimento de produtos, tecnologia e serviços avançados para clientes que desempenham um papel essencial na agricultura, construção, florestal entre outros setores. Nosso objetivo é atender à crescente necessidade mundial de alimentos, combustível, abrigo e infraestrutura, enquanto promove a sustentabilidade e a preservação do planeta que chamamos de lar.
Inovamos para impulsionar a produtividade e proteger nosso planeta e convidamos você a fazer parte dessa história. Trabalharemos juntos para criar, testar, superar para que para que a vida possa avançar. ����
 

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Tags: Accounting concepts Agile AWS Computer Science CX Databricks Economics Finance Machine Learning Mathematics Python R Research Scrum Spark SQL Statistics Testing Unstructured data UX

Perks/benefits: Career development Fitness / gym

Region: South America
Country: Brazil

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