Data Scientist | Advanced Analytics

Introduction
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience

Your Role and Responsibilities
As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Required Technical and Professional Expertise

• Liderar o design e a implementação de projetos de otimização em diversas áreas do negócio, garantindo que os modelos atendam aos requisitos de eficiência e eficácia;
• Desenvolver e aplicar técnicas de otimização linear, não linear e metaheurísticas para resolver problemas de alocação de recursos, logística, produção, entre outros;
• Colaborar com stakeholders de diversas áreas, traduzindo desafios de negócios em problemas matemáticos e propondo soluções viáveis;
• Garantir a integração de técnicas de aprendizado de máquina e estatística com os processos de otimização;
• Analisar grandes volumes de dados e gerar insights acionáveis que orientem a tomada de decisão estratégica da empresa;
• Documentar e comunicar os resultados das análises de forma clara e eficiente para públicos técnicos e não técnicos;
• Mentorar cientistas de dados juniores e colaborar com outras áreas de ciência de dados e TI para garantir a melhor performance dos modelos.

Todas as vagas são elegíveis para pessoas com deficiência ou reabilitadas.

Preferred Technical and Professional Expertise

• Inglês Avançado ou Fluente: habilidade de comunicar-se em inglês de forma eficiente, tanto em interações escritas quanto orais, sendo capaz de atuar em equipes globais e interagir com clientes internacionais;
• Superior completo ou cursando.