NetApp

Data Science Intern

NetApp

internship

Posted on:

Location Type: Office

Location: Morrisville • North Carolina • United States

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Job Level

Entry Level

Tech Stack

PythonSQL

About the role

  • Processing and analyzing large volumes of data.
  • Building predictive models with advanced machine learning algorithms such as Neural Networks, Decision Trees, Boosting/Ensemble methods, Clustering, etc.
  • Implementing data quality checks to ensure that all reporting and modeling is using correctly sourced data.
  • Interacting with business teams from the data analysis stage to the final report presentation.
  • Assisting Product Managers as needed to define and refine business use cases.
  • Writing coherent reports and making presentations on high-end analytical projects.
  • Communicating verbally and in writing with peer technical team members as well as business leaders.
  • Assist in building or integrating Generative AI–powered features, such as intelligent assistants, automation workflows, or recommendation systems.
  • Gain exposure to agentic frameworks and patterns (e.g., tool-using agents, multi-step reasoning, orchestration of AI agents).

Requirements

  • Experience in Machine Learning, Scripting, and Statistical & Reporting tools (Python, R, SQL, etc.)
  • Knowledge of at least some supervised and unsupervised modeling techniques such as Logistic/Linear Regression, SVMs, Neural Networks / Deep Networks, Boosting/Ensemble methods, Decision Trees, Clustering, etc.
  • Awareness of Generative AI concepts, including large language models (LLMs), prompt engineering, or AI-assisted development tools.
  • Willingness to extend beyond core data science work to perform -data wrangling, data prep and data transfers, data quality checks, deployment, monitoring
  • Ability to communicate clearly across data science team members
  • Experience with SQL and relational databases
  • Experience with unstructured and semi-structured data sources and requisite processing tools.
Benefits
  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningNeural NetworksDecision TreesBoosting methodsEnsemble methodsClusteringLogistic RegressionLinear RegressionSVMsData Quality Checks
Soft Skills
CommunicationReport WritingPresentation SkillsCollaborationInterpersonal Skills