Data Scientist | Advanced Analytics

Há 1 mês


São Paulo, Brasil IBM Tempo inteiro

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 groundbreaking 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
Principais atribuições:

  1. 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;
  2. Colaborar com stakeholders de diversas áreas, traduzindo desafios de negócios em problemas matemáticos e propondo soluções viáveis;
  3. Analisar grandes volumes de dados e gerar insights acionáveis que orientem a tomada de decisão estratégica da empresa;
  4. Documentar e comunicar os resultados das análises de forma clara e eficiente para públicos técnicos e não técnicos;
  5. Mentorar cientistas de dados juniores e colaborar com outras áreas de ciência de dados e TI para garantir a melhor performance dos modelos;

Requisitos:

  1. Experiência com otimização Linear e Não Linear: expertise em técnicas como Simplex, programação quadrática, otimização convexa e outras formas de otimização matemática aplicadas a problemas de grande escala;
  2. Metaheurísticas: conhecimento profundo em algoritmos como Simulated Annealing, Algoritmos Genéticos, Colônia de Formigas, e Particle Swarm Optimization, aplicados para resolver problemas de otimização complexos e de difícil modelagem;
  3. Programação Matemática e Estatística: proficiência em linguagens como Python, R, MATLAB, além de bibliotecas específicas (e.g., PuLP, Gurobi, Scipy);
  4. Machine Learning e Estatística Avançada: capacidade de integrar técnicas de aprendizado de máquina e estatística com métodos de otimização, otimizando modelos preditivos e prescritivos;
  5. Big Data & Cloud: experiência em trabalhar com grandes volumes de dados e ferramentas em nuvem (Azure, AWS, GCP) para modelagem e execução de algoritmos de otimização em larga escala;
  6. Simulação e Modelagem Matemática: habilidade em desenvolver simulações para testar soluções de otimização, ajustando-as conforme necessário para cenários reais e variáveis.

Preferred Technical and Professional Expertise

  1. 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;
  2. Superior completo ou cursando.

About Business Unit
IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration.


Your Life @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company.


About IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.


Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.


At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.


Location Statement
For additional information about location requirements, please discuss with the recruiter following submission of your application.


Being You @ IBM
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.

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