Rockwell Automation is seeking to solve business innovation and digital transformation challenges across multiple industries by leveraging digital technologies and data science capabilities.
Requirements
- Proficiency with Machine Learning model development and mathematical disciplines
- Experience with R, Python, Scala, D3.js, Tableau, Kibana, HTML5, CSS, Java, .NET languages, ETL/ETLV, Graph/NoSQL, Oracle, and MS SQL Server, RESTful and SOAP Web Services
Responsibilities
- Develop data models for digital solutions in various industries covering themes like forecasting, risk analysis, customer behavior, timeseries, asset efficiency, predictive maintenance, multi-dimensional correlation, NLP/NLG, Vision AI, and model benchmarking
- Build scalable tools for processing large data volumes using on-prem, cloud, and hybrid technologies
- Design and implement machine learning and data management strategies
- Optimize innovation, strategy, product development, manufacturing, and broader supply chain processes in our global Digital Data Science & Internet of Things (IoT) capability
- Collaborate with clients and internal stakeholders to develop solutions and contribute to innovative Thoughtware and research
- Consult with and advise clients across multiple industries on designing and implementing digital technologies to drive business innovation and enhance customer experiences
- Drive internal initiatives and contribute to development of company culture and fellow interns
Other
- A bachelor's degree in progress from an accredited college or university
- Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
- An undergraduate Computer Science, Data Science, Engineering, Machine Learning, Mathematics, Statistics or similar quantitative degree in progress with a 3.3 cumulative GPA or higher and an expected graduation date of Spring 2027
- Previous internship or part-time analytical work experience
- The ability to organize workstreams, meet project deadlines, and interface with clients through written communication and presentations
