Seagate Technology

Data Science Intern

Seagate Technology

internship

Posted on:

Location Type: Office

Location: Shugart • 🇸🇬 Singapore

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Job Level

Entry Level

Tech Stack

PythonScikit-LearnTableauTensorflow

About the role

  • Assist in the collection, cleaning, and preprocessing of large datasets from various sources
  • Conduct exploratory data analysis to identify trends, patterns, and anomalies
  • Develop and implement basic machine learning models and algorithms under the guidance of senior data scientists
  • Create data visualizations and reports to communicate findings to both technical and non-technical stakeholders
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
  • Participate in team meetings, brainstorming sessions, and continuous learning activities

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
  • Basic understanding of data science principles and machine learning concepts
  • Proficiency in programming languages such as Python
  • Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow) is a plus
  • Strong analytical and problem-solving skills, with the ability to work with large and complex datasets
  • Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus
  • Ability to work collaboratively in a team environment and manage multiple tasks simultaneously
Benefits
  • Excellent employee recreational facilities
  • Access to badminton courts
  • Table tennis tables
  • In-house gym
  • Recreation rooms
  • Yoga and Zumba classes
  • Classes in photography, gardening, and foreign languages
  • On-site celebrations
  • Community volunteer opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data cleaningdata preprocessingexploratory data analysismachine learning modelsdata visualizationPythonscikit-learnTensorFlowanalytical skillsproblem-solving
Soft skills
communication skillspresentation skillscollaborationteamworkability to manage multiple tasks