Rockwell Automation is seeking a Data Science Analyst Intern to assist in digital transformation and innovation consulting, helping clients across multiple industries design and implement digital technologies to drive business innovation and enhance customer experiences.
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
- Consult with and advise clients across multiple industries on designing and implementing digital technologies to drive business innovation and enhance customer experiences.
- Optimize innovation, strategy, product development, manufacturing, and broader supply chain processes in our global Digital Data Science & Internet of Things (IoT) capability.
- 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.
- Collaborate with clients and internal stakeholders to develop solutions and contribute to innovative Thoughtware and research.
- 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.
