Data Science Intern

Ad hoc ResearchPlano, TX

About The Position

We are seeking talented and driven individuals to join our internship program as a Data Science Intern. This is a unique opportunity to gain hands-on experience in a collaborative environment while working on real-world projects involving data analysis, machine learning, artificial intelligence, cloud technologies, and advanced modeling techniques. As an intern, you will work closely with experienced professionals and have the chance to develop your skills across multiple data-focused domains while contributing to impactful solutions.

Requirements

  • U.S. citizenship is required.
  • Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Computer Engineering, Electrical Engineering, Information Technology, or a related field.
  • Strong foundation in programming languages such as Python, R, SQL, or similar.
  • Basic understanding of statistics, data analysis, and machine learning concepts.
  • Strong analytical and problem-solving skills with a passion for working with data.
  • Excellent communication skills and ability to work in a team-oriented environment.

Nice To Haves

  • Familiarity with data science libraries and tools such as Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar is a plus.
  • Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or similar is a plus.
  • Exposure to cloud platforms like AWS, Azure, or GCP is a plus.

Responsibilities

  • Assist in collecting, cleaning, analyzing, and interpreting large and complex datasets.
  • Support the development, testing, and validation of machine learning and AI models.
  • Collaborate with engineers, data scientists, and cross-functional teams to deliver data-driven insights and solutions.
  • Contribute to the design and implementation of predictive models, statistical analyses, and data visualizations.
  • Assist in developing and maintaining data workflows and processes to support analytics and model performance.
  • Work with cloud platforms (AWS, Azure, GCP) and data tools to support scalable analytics environments.
  • Help document methodologies, findings, and technical processes for internal and external stakeholders.
  • Conduct research and stay updated on the latest trends and advancements in data science, AI, and analytics.

Benefits

  • Mentorship from industry experts and opportunities for professional growth.
  • Hands-on experience with cutting-edge technologies and real-world applications.
  • A collaborative and inclusive work environment that values diversity and innovation.
  • Networking opportunities with professionals in the field.
  • Potential for full-time employment based on performance.
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