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Data Scientist Intern (Remote)

Company

Midwest Staffing
Address United States
Employment type INTERN
Salary
Category Staffing and Recruiting
Expires 2023-09-02
Posted at 9 months ago
Job Description
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


  • Participate in sprint planning and agile development processes
  • Research and implement best practices for data governance and security
  • Identify opportunities for automation and process improvement
  • Develop and maintain data processing workflows
  • Contribute to documentation and knowledge sharing activities to ensure that the team's work is well documented and accessible to others
  • Learn and apply machine learning techniques to data analysis
  • Learn to design and build data pipelines for common business use cases
  • Design and develop data visualizations


Minimum Requirements For The Role


  • Familiarity with programming languages such as Python, R, or Scala
  • Understanding of data structures and algorithms
  • Current student pursuing a Bachelor's or Associate's degree in engineering, computer science or related field (3.0+ GPA)
  • Strong technical aptitude and desire for continuous learning
  • Effective time management skills and strong attention to detail
  • Familiarity with query languages such as SQL or KQL
  • Interest in data engineering and data analysis


An Ideal Candidate Also Has


  • Experience with data modeling and data architecture
  • Experience with Databricks, H20, Power BI, Tableau
  • Perform all other duties as appointed
  • Must have the ability to perform responsibilities with or without reasonable accommodation
  • Assist in developing a positive, professional and safe work environment
  • Familiarity with Microsoft Azure, Amazon Web Services, or Google Cloud Platform
  • Understanding of machine learning concepts and tools
  • Hands-on expertise with SQL for use in data access, discovery and analysis
  • Ability to design and implement scalable, efficient data pipelines and workflows