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The Data Scientist Intern will work with the Data Platform team to research and develop cloud-based data management solutions for our Systems. You will utilize a variety of technologies to provide a scalable, reliable foundation for organizations to store, process, and analyze large volumes of data.
In this role, you will:
Learn to design and build data pipelines for common business use cases
Develop and maintain data processing workflows
Design and develop data visualizations
Learn and apply machine learning techniques to data analysis
Identify opportunities for automation and process improvement
Research and implement best practices for data governance and security
Contribute to documentation and knowledge sharing activities to ensure that the team’s work is well documented and accessible to others
Participate in sprint planning and agile development processes
Minimum requirements for the role:
Current student pursuing a Bachelor’s or Associate’s degree in engineering, computer science or related field (3.0+ GPA)
Familiarity with programming languages such as Python, R, or Scala
Familiarity with query languages such as SQL or KQL
Understanding of data structures and algorithms
Interest in data engineering and data analysis
Strong technical aptitude and desire for continuous learning
Effective time management skills and strong attention to detail
An ideal candidate also has:
Hands-on expertise with SQL for use in data access, discovery and analysis
Experience with data modeling and data architecture
Ability to design and implement scalable, efficient data pipelines and workflows
Understanding of machine learning concepts and tools
Familiarity with Microsoft Azure, Amazon Web Services, or Google Cloud Platform
Experience with Databricks, H20, Power BI, Tableau
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