Data Scientist Intern Job at Applexus Technologies, Seattle, WA

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  • Applexus Technologies
  • Seattle, WA

Job Description

Job Description

About Applexus

Applexus is a global SAP consulting firm specializing in SAP S/4HANA, Data & Analytics, and SAP BTP solutions. We provide comprehensive end-to-end services, from strategic planning to seamless implementation, backed by deep industry expertise and SAP domain knowledge. Our tailored solutions for various industries and lines of business are designed to enhance business performance, foster innovation, and deliver tangible business value to our clients.

Headquartered in Seattle, Washington, we operate out of centers in the United States, Canada, the United Kingdom, and India. Our commitment goes beyond just business; we're dedicated to making a positive impact by actively serving our communities worldwide.

About The Role

We are looking for a motivated and curious Data Science Intern to join our team. As an intern, you will work on real-world machine learning and data science projects under the guidance of experienced professionals. This is a great opportunity to apply your academic knowledge, learn new tools and techniques, and gain hands-on experience in the AI/ML field.

Skills & Qualifications

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field from an accredited U.S. university.
  • Good programming skills in Python (knowledge of R is a plus).
  • Familiarity with ML libraries and frameworks like scikit-learn, TensorFlow, PyTorch, or Keras.
  • Understanding of basic statistics, linear algebra, and machine learning algorithms.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a team.

Key Responsibilities

  • Assist in building, training, and evaluating machine learning models.
  • Work on data cleaning, preprocessing, and feature engineering.
  • Contribute to developing predictive models, natural language processing (NLP), or computer vision projects.
  • Use Python and relevant libraries (such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch).
  • Collaborate with team members to analyze results and present insights.
  • Document work and findings clearly for future reference.

What You'll Gain

  • Hands-on experience with cutting-edge AI/ML technologies.
  • Mentorship from experienced data scientists and engineers.
  • Opportunity to work on meaningful projects with real impact.
  • A certificate of completion and potential for future full-time opportunities.

Job Tags

Full time, Worldwide,

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