Job title: data mining virtual internship
the gao group, usa & canada
gao group is headquartered in nyc, usa, and toronto, canada. Its member companies are incorporated in both the usa & canada and are leading suppliers of advanced electronics and network products for engineers worldwide.
location: (mention country)/virtual/remote
job description:
we are looking for a motivated data mining intern to join our team. This internship provides practical exposure to handling datasets, extracting insights, and supporting business decision-making through data-driven approaches.
key responsibilities:
collect, clean, and organize raw datasets from various sources.
perform data preprocessing, including handling missing values and outliers.
use data mining techniques to identify patterns, correlations, and trends.
apply clustering, classification, and predictive modeling techniques.
support market and customer segmentation analysis.
prepare data-driven reports and dashboards.
collaborate with the marketing and tech teams to translate findings into actionable strategies.
ai-powered data mining and trend prediction for improved accuracy.
ensure data accuracy, security, and confidentiality in all tasks.
qualifications:
currently pursuing or recently completed a degree in business, marketing, data science, engineering, or a related field.
strong analytical and problem-solving skills (very important for data-driven work).
basic understanding of data analysis, statistics, or database concepts.
effective written and verbal communication skills.
familiarity with tools such as excel, google analytics, python, r, or sql is a plus.
self-motivated, proactive, and eager to learn in a dynamic environment.
why join us?
work on real-world data mining and analytics projects with a global company.
gain expertise in data-driven decision-making, ai tools, and industry practices.
earn three certificates upon successful completion of the internship.
enjoy the convenience of a fully remote work experience.
build a professional portfolio and boost your career prospects in data science and analytics.