Data Science Internship

Peter MillarResearch Triangle Park, NC
3d

About The Position

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. We are seeking a Data Science Intern pursuing a master’s degree in Data Analytics or a related field to join our dynamic team. The ideal candidate has a strong interest in the retail and apparel space, coupled with foundational experience in Microsoft’s Azure platform. This internship offers hands-on opportunities to analyze complex datasets, develop predictive models, and drive actionable insights that impact business decisions. Work Schedule: • Part‑time beginning in April • Full‑time during the summer months (preferably in office) Future Opportunity: This internship offers the potential for full‑time employment upon completion, contingent on performance and organizational needs.

Requirements

  • Demonstrated interest in the retail and apparel industry, with knowledge of market trends or consumer behavior.
  • Hands-on experience with Microsoft Azure services, such as Azure ML, Azure Data Factory, or Azure Synapse Analytics.
  • Proficiency in programming languages such as Python or R, and experience with libraries like pandas, scikit-learn, or TensorFlow.
  • Familiarity with SQL for querying and managing databases.
  • Basic knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib.
  • Strong analytical, problem-solving, and communication skills.

Nice To Haves

  • Currently pursuing a Master’s degree in Data Analytics, Data Science, Statistics, Computer Science, or a related field.
  • Experience with retail datasets, such as point-of-sale (POS) data, inventory systems, or customer segmentation.
  • Exposure to cloud-based machine learning workflows or model deployment on Azure.
  • Understanding of A/B testing and other statistical evaluation methods.

Responsibilities

  • Collaborate with the data science team to design, develop, and implement data-driven solutions tailored to the retail and apparel industry.
  • Conduct exploratory data analysis (EDA) to uncover patterns and trends in customer behavior, sales performance, and inventory management.
  • Build and refine predictive models and machine learning algorithms to enhance business outcomes, such as demand forecasting and personalized marketing strategies.
  • Assist in the integration and management of data pipelines using Microsoft Azure tools, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  • Present findings and recommendations through clear visualizations and reports using Power BI or similar tools.
  • Participate in cross-functional projects to align data science initiatives with broader business goals.
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