Data Scientist Intern

Key Skills

AWS Sagemaker, Data Visualization, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, R Programming, SAS, SQL, Statistical modeling, TensorFlow

Job Description

Over the last seven years, MetroStar has proudly led one of the most diverse internship programs in the industry. Our interns get the opportunity to learn more about the work we do to transform government missions through innovative technologies and approaches. During your internship you’ll get exposure to real-world problems, mentorship from world-class technology leaders, and the ability to network and connect with professionals across our company.

About our Internship Program

Our internship provides opportunities to grow your technical and professional skills and collaborate with interns, employees, and leaders from a variety of backgrounds, which mimic our real-world projects. This is a 8-week, intensive, fully paid internship with the opportunity to work on solutions that propel our customers’ missions forward. As an intern you will also have access to training sessions, networking and social events, and mentorship.

Required Experience

• Target completion of a bachelor’s degree or higher between May 2023 and August 2024

Internship Dates:

• June 5th – July 28th

Preferred Experience

• Exceptional communication skills, both written and oral
• Experience working collaboratively within a team
• Experience with the Microsoft suite or comparable digital tools

Role:

The Data Scientist intern will work collaboratively with other interns and MetroStar Technologists to solve a real-world problem facing the company. We have outlined the recommended background and recommended technical skills for this role:

Data Scientist

• Recommended Background
  • Degree program in Mathematics, Statistics, Computer Science, or related field
• Recommended Technical Skills
  • Python, R, SQL, or SAS
  • Machine Learning- TensorFlow, SageMaker, Pytorch
  • Statistical Modeling
  • Natural Language Processing
  • Data Visualization

Responsibilities:

• Apply knowledge gained during coursework to solve real-world challenges
• Analyze information and evaluate results to choose the best solution to effectively solve problems
• Create and support a productive and innovative team, this includes working with peers, managers, and teams.