Job
Description
The IBM Sustainability Software business unit is seeking a talented and motivated data scientist to work as a Data Scientist across our portfolio of software products. Our group helps companies turn their sustainability ambitions into actions by embedding AI into the software that they use for managing their assets and environmental intelligence processes. We work on problems for everything from predicting asset failures from IOT data to o helping companies reduce their carbon footprint and understand the impacts of climate change on their business. You will work across the entire AI and software lifecycles including requirements gathering, use case definition, design, model building, implementation, testing, documentation, and delivery. You'll frequently work with Product Owners, Architects, Designers, Sales, Support, Business Partners, and customers throughout this process. This is an exciting opportunity to work as a part of a worldwide team of data scientists on problems that really matter at a scale that few other companies can support. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3+ years of relevant hands-on experience in the data science ecosystem including: - Hands-on experience with big data technologies (e.g., Spark, Ray) and deep learning frameworks (PyTorch) - Hands-on experience with SQL and Python - Hands-on experience with DevOps frameworks (Git, CI/CD, Docker) - Hands-on experience building libraries and packages to be re-used by others - Hands-on experience building DS Solutions for production usage - Excellent understanding of machine learning techniques and algorithms and their drawbacks - Team player with a problem-solving attitude - Experience in delivering advanced analytical projects to large, complex organizations in a multi-functional environment. - Able to challenge and review the quality and value generated from analytical outputs - Focus on driving business value for clients to support long-term relationships. Preferred technical and professional experience - Expertise in vision, language models, or advanced machine learning techniques - Expertise in processing and analyzing geo-spatial data - remote-sensing, weather etc. including geo-spatial tools. - Ability to clearly communicate complex ideas to different audiences - Independently contribute to projects or workstreams with limited guidance - Has developed new approaches to existing methods and technologies to develop and deploy solutions - Uses, implements, and shares knowledge and expertise to drive advances in project work - Makes contributions to the creation of IP in form of patents, publications, assets - Effectively coaches and at times manages the work of junior team members (including interns)
