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.
Nesta função, você trabalhará em um de nossos IBM Consulting Client Innovation Centers (Delivery Centers), onde fornecemos profundo conhecimento técnico e do setor para uma ampla gama de clientes dos setores público e privado em todo o mundo. Nossos centros de entrega oferecem aos nossos clientes habilidades e conhecimentos técnicos locais para impulsionar a inovação e a adoção de novas tecnologias.
As Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:
Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects
Writing programs to cleanse and integrate data in an efficient and reusable manner
Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
Evaluating modelling results and communicating the results to technical and non-technical audiences.
Data Collection and Processing
* Collect, clean, and process large datasets from various sources.
Machine Learning and Predictive Analytics
* Develop and implement machine learning models for predictive analytics.
Statistical Analysis and Data Mining
* Apply statistical analysis and data mining techniques to uncover trends and patterns.
Data Pipeline Development
* Build and optimize data pipelines for efficient data processing.
Data Visualization and Dashboards
* Create data visualizations and dashboards using Tableau, Power BI, Matplotlib, and Streamlit.
Collaboration with Cross-Functional Teams
* Work closely with cross-functional teams to integrate data solutions into business processes.
A/B and Hypothesis Testing
* Conduct A/B testing and hypothesis testing to measure business impact.
Data Quality, Governance, and Compliance
* Ensure data quality, governance, and compliance with privacy regulations.
Continuous Learning
* Stay updated with the latest advancements in AI/ML and data science technologies
Fluent English
* Proficient in English for effective communication and collaboration.