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Introdução

A career in IBM Software means you'll be part of a team that transforms our customers challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

Sua Função e suas Responsabilidades

The Data Scientist role requires a highly analytical individual proficient in Python programming, database management, and data science methodologies. You'll focus on extracting insights from data, developing and implementing machine learning models, managing big data infrastructure, and supporting AI-driven product development. Key Responsibilities: Data Collection and Cleansing: Collect and cleanse data from diverse sources to ensure high-quality datasets for decision-making. Data Exploration and Visualization: Explore and visualize data using advanced techniques to uncover insights and trends. Statistical Analysis: Apply statistical and mathematical techniques to provide robust analytical foundations for predictive modeling. Machine Learning and Deep Learning: Develop and implement machine learning and deep learning models to address business challenges. ML-Ops / AI-Ops: Demonstrate expertise in ML-Ops / AI-Ops practices to ensure efficient model deployment and management. Big Data Management: Manage big data infrastructure and execute data engineering tasks for efficient data processing. Version Control and Collaboration: Utilize version control systems like Git for maintaining codebase integrity and fostering collaboration. AI-Driven Product Development: Design, create, and support AI-driven products to deliver impactful solutions aligned with user needs and business objectives.

Formação requerida
Bacharelado
Formação preferencial
Mestrado
Experiência Profissional e Técnica Requerida
  • 5+ years of expertise in Statistical Modeling and Machine Learning: Demonstrable deep understanding of statistics, machine learning, deep learning, neural networks, and NLP/NLU. 
  • Strong programming skills in Python or R for data manipulation, analysis, and modeling.
  • Proficiency in machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, Keras, XGBoost, PyTorch).
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and big data tools (e.g., Spark, Hadoop).
  • Experience with SQL and working with large, complex datasets.
  • Ability to interpret complex data patterns and translate them into actionable insights.
Experiência Profissional e Técnica Preferencial
  • Knowledge of optimization techniques and algorithms for large-scale data problems.
  • Familiarity with MLOps principles and practices.
  • Familiarity with natural language processing (NLP), computer vision techniques, LLMs.

Sobre a Unidade de Negócios

Do aprendizado de máquina à IA generativa, o software IBM injeta inteligência nas principais operações de negócios para tornar as empresas mais responsivas, produtivas e resilientes. O software IBM ajuda os clientes a colocar a IA em ação para agregar valor real, de forma rápida e segura, à mão de obra digital, automação de TI, modernização de aplicação, segurança e sustentabilidade. Para isso, a capacidade de usar todos os dados é fundamental, porque a IA somente será boa se os dados que a alimentam também forem. Na maioria das empresas há dados locais, dados espalhados por diversas nuvens, dados em data centers privados e na borda. A plataforma de dados e IA da IBM escala e acelera o impacto da IA com dados confiáveis, além de fornecer recursos de ponta para treinar, ajustar e implementar a IA nos negócios. A plataforma de nuvem híbrida da IBM é uma das abordagens mais abrangentes e consistentes ao desenvolvimento, segurança e operações em ambientes híbridos, atuando como uma base flexível que utiliza os dados, onde quer que estejam, para estender amplamente a IA sobre os negócios.

SEU 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. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

 

Are you ready to be an IBMer?

Sobre a 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.

Outros detalhes relevantes do cargo

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application.