Staff Data Scientist - Indaiatuba/SP
Indaiatuba, São Paulo, BR, 13337-300
John Deere
Explore agricultural, construction, forestry machinery, technology, services and more on the official John Deere website. Find a dealer in your area or purchase online.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. ����
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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
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