Disability Solutions - Houston, TX

posted 15 days ago

Full-time - Intern
Houston, TX
Administrative and Support Services

About the position

As a Data Science Intern at CenterPoint Energy, you will collaborate with the data science and machine learning team to support various business initiatives. This role involves conducting experiments, performing exploratory data analysis, and developing machine learning models to tackle business challenges. You will have the opportunity to present your findings to both technical and non-technical stakeholders, gaining hands-on experience in a dynamic team environment.

Responsibilities

  • Prototype machine learning models and conduct exploratory data analysis (EDA) for potential use cases.
  • Learn and apply best practices in data science and machine learning.
  • Develop hypotheses and design experiments to confirm or reject them.
  • Assist in model testing while learning about model versioning and other key MLOps aspects.
  • Stay informed about industry trends and contribute to internal discussions on novel approaches.
  • Collaborate and maintain codebases using standard version control and GIT principles.
  • Communicate progress or challenges during team meetings and throughout each sprint.
  • Write clean, maintainable code following software engineering principles and team standards.
  • Actively learn from and contribute to the team while developing your skills through mentorship and guidance from senior members.

Requirements

  • A senior or master's student expecting to graduate by the end of the spring semester, pursuing a degree in a STEM field such as Statistics, Mathematics, Computer Science, Data Science, or a related discipline.
  • Basic understanding of SQL and familiarity with relational or NoSQL databases.
  • Some experience programming in Python through coursework, projects, or internships.
  • Strong problem-solving skills and a demonstrated ability to work with complex datasets.

Nice-to-haves

  • Prior experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) through coursework or projects.
  • Good understanding of statistical concepts and their application in real-world problems.

Benefits

  • Competitive pay
  • Paid training
  • Benefits eligibility begins on your first day
  • Transit subsidies
  • Flexible work schedule, paid holidays and paid time off
  • Access to discounts at fitness clubs and an on-site wellness center at our headquarters in Houston
  • Professional growth and development programs including tuition reimbursement
  • 401(k) Savings Plan featuring a company match dollar-for-dollar up to 6% and a company contribution of 3% regardless of your contribution
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