Paid Data Science Engineer Internship - Summer 2025 Hiring

Job Description

Are you passionate about data science, machine learning, and big data technologies? Our Remote Data Science Engineer Internship is an exciting opportunity for aspiring data professionals to gain hands-on experience in a collaborative, fast-paced environment. This internship will provide real-world exposure to data analysis, predictive modeling, and engineering scalable data pipelines.

Qualifications

If you are highly analytical, detail-oriented, and eager to learn, we encourage you to apply!

• Availability:
  
  
  
  • Must be available for a minimum of 30 hours per week during East Coast business hours (Monday - Friday).
  
  
  • Ideally, candidates should be able to commit to 40 hours per week for the duration of the internship.
  
  
  
  


• Remote Work Requirements:
  
  
  
  • A private and reliable internet connection is required.
  
  
  • Must be located in the United States (for tax purposes). International applicants will not be considered.
  
  
  
  


• Technical Skills:
  
  
  
  • Proficiency in Python, R, or SQL for data analysis and modeling.
  
  
  • Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
  
  
  • Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch) is a plus.
  
  
  • Familiarity with cloud computing platforms (AWS, Google Cloud, Azure) is a plus.
  
  
  • Understanding of database management systems and working with large datasets.
  
  
  • Experience with data wrangling, cleaning, and preprocessing techniques.
  
  
  
  


• Soft Skills:
  
  
  
  • Strong problem-solving and critical thinking abilities.
  
  
  • Excellent communication and interpersonal skills.
  
  
  • Ability to work independently and as part of a team in a fast-paced environment.
  
  
  • Self-motivated, proactive, and adaptable with a willingness to learn new technologies.
  
  
  
  

Responsibilities

As a Data Science Engineer Intern, you will work closely with our data science team on real-world projects that involve data collection, processing, analysis, and model development. Your key responsibilities will include:

• Analyzing and processing large datasets to extract meaningful insights.


• Assisting in the development and deployment of machine learning models.


• Writing and optimizing SQL queries for efficient data retrieval.


• Collaborating with engineers and data scientists to build scalable data pipelines.


• Visualizing data insights using industry-standard tools.


• Participating in code reviews and team discussions to improve best practices.


• Documenting work, findings, and technical processes.

Compensation & Benefits

• Hourly rate: $15 per hour


• Hands-on experience with real-world data science projects.


• Exposure to modern tools, frameworks, and industry best practices.


• Networking opportunities and potential for future career growth within the company.

How to Apply

To apply, please submit a cover letter explaining why you are the ideal candidate for this role, along with your resume.

 

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