Remotehey

Anika Systems is looking for dynamic, well-rounded interns to join our growing team! We are a fast-growing, woman-owned small business providing innovative IT solutions for federal government agencies. This opportunity will be 100% remote and is a paid internship.

The Data Scientist Intern will work with the Data Platform team to research and develop cloud-based data management solutions for Anika 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:

Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance

• 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

EOE AA/M/F/Vet/Disability

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