はじめに
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 embraces 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 IBM 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.
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.
役割と責任
The IT Data Scientist is responsible for combining deep data and analytics skills with strong businessacumen to solve business problems by understanding, preparing, and analyzing data to predict emergingtrends and provide recommendations to optimize business results.Responsibilities* Collect, process, and analyze large datasets from various IT sources, including logs, metrics, andmonitoring tools* Develop and maintain predictive models, machine learning algorithms, and data visualizations toidentify trends, patterns, and anomalies* Collaborate with IT teams, including infrastructure, security, and application development, toidentify data requirements and develop data-driven solutions* Clean, process, and validate integrity of data used for modeling* Communicate complex technical insights to non-technical stakeholders, including IT leaders andbusiness executives
必要とされる学歴
学士号
望ましい学歴
修士号
必要な専門的および技術的知識
ExperienceSpecific skills needed are listed below; the level of experience will vary based on tenure.* Proficiency in programming languages commonly used for analytics such as Python or R, as well asexperience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).* Solid mathematical and statistical foundations, with knowledge of algorithms, data structures, andoptimization techniques* Strong problem-solving skills and the ability to apply critical thinking to understand complexproblems and develop innovative solutions.* Excellent communication and teamwork skills, with the ability to effectively collaborate with crossfunctional teams and present technical ideas to non-technical stakeholders.* Knowledge of Advanced Analytics techniques that are traditionally applied to structured data, as wellas deep understanding of Natural Language Processing