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Internship

Data Science Intern

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AARP

1mo ago

🚀 Summer Internship

Washington, DC

AI generated summary

  • You must be a graduate student in a related field, proficient in Spark, Databricks, Pyspark, Python, and SQL, with experience in big data and ML libraries, excellent communication, and collaborative skills. Adaptability and self-starting are crucial.
  • You will analyze member data using Python on Databricks, develop ML models, optimize cloud environments, and present research findings using data visualization techniques.

Summer Internship

DataWashington, DC

Description

  • Picture yourself actively contributing to ASI Marketing's success by incorporating cutting-edge pipelines into the framework. This hands-on experience will empower you to leverage advanced models, optimize Email Channel strategies, and deeply understand data-driven decision processes. At AARP, we value your role in swiftly identifying and capitalizing on emerging business opportunities within the email channel.
  • Your involvement will increase our offerings and member value and give you a unique chance to make a tangible impact. Join us in fortifying AARP's position for success in the ever-evolving landscape of data-driven strategies. As a summer intern, you'll contribute meaningfully and gain a valuable learning experience. Take advantage of this opportunity to make a difference and grow with us!

Requirements

  • Must be enrolled in a degree program at an accredited college/university rising undergraduate juniors or seniors, graduate students, or post-doctoral students and remain academically enrolled throughout the internship and pursuing a degree in computer science, statistics, science, technology, engineering, mathematics, marketing, operations research, or related fields
  • Preference will be given to candidates enrolled in a graduate program
  • Must be a self-starter and adaptable to work under tight deadlines
  • Ability to manage multiple projects, anticipate project needs, and discern work priorities
  • Proficiency in Spark, Databricks, AWS, and generative AI tools such as ChatGPT, Google Gemini, etc.
  • Technical fluency in Pyspark (preferred), Python/Pandas, and SQL
  • Must have some experience (professional or college-level) dealing with big data
  • Databicks savvy or eager to learn new technologies.
  • ML libraries like TensorFlow, PyTorch, etc
  • Communication skills – Strong organizational and communication skills
  • Exceptional written and verbal communication skills with experience building stories and narratives out of data
  • Collaborative skills – Comfort working across multiple business teams, including both technical and non-technical partners

Education requirements

Currently Studying

Area of Responsibilities

Data

Responsibilities

  • Hands-on experience in Python on Databricks to quantitatively study and explore member data to track and analyze member behavior
  • Work on highly scalable ML models and algorithms in extensive data mining, Supervised Learning modeling & other domains. Familiar with Machine Modelling cycle, including various tasks, data preparation, Feature Engineering, Model selection, Validation Evaluation, Deployment, etc.
  • Working knowledge of Cloud environments, cluster optimization, and usage
  • Present results of research and/or analysis, typically using data visualization techniques, sometimes to broader internal or external audiences

Details

Work type

Full time

Work mode

office

Location

Washington, DC