Introduction At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.
Your Role and Responsibilities The IBM Sustainability Software business unit is seeking a talented and motivated backend software developer to work as an 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 supply chains, assets, complex engineering, and environmental intelligence processes. We work on problems for everything from predicting asset failures from IOT data to optimizing supply chain decisions to 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 on problems that really matter at a scale that few other companies can support.
Required Technical and Professional Expertise
4-7+ years of hands-on software development experience in the data science ecosystem including:
Hands-on experience with big data technologies (e.g., Spark, Ray) and deep learning frameworks (PyTorch, Tensorflow, Keras)
Hands-on experience with SQL and Python
Hands-on experience with DevOps/MLOps frameworks (Git, CI/CD, Docker, MLFlow, Argo)
Hands-on experience building libraries and packages to be re-used by others
Hands-on experience building DS Solutions for production usage
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 business clients to support long-term relationships.
Ability to lead teams, ensuring the culture and strategy are communicated and maintained.
Preferred Technical and Professional Expertise
Expertise in vision, language models, optimization, or advanced machine learning techniques
Experience in applications of AI in Supply Chain, reliability engineering, IOT, or environmental science areas
Ability to clearly communicate complex ideas to different audiences
Develops new and improved learning methodologies for business and project needs
Set project vision and scope to help ensure adequate resources and support team to mitigate and address issues or risks as they arise
Communicate ideas and key results internally / externally for decision-making to senior audiences
Contributes to the creation of IP in the form of patents, publications, assets, and external presentations
Leads non-project activities in community building or skills development
