DTCO Data Engineer Intern

Intel•Austin, TX

2d•$999•Onsite

About The Position

Are you ready to make an impact at the forefront of data science and analytics? Join Intel as a Data Science and Analytics Undergraduate Intern and become part of a team leveraging data-driven insights to drive innovation and improve business decisions. In this role, you will contribute to Intel's success by uncovering patterns in large datasets, building data models and visualizations, and supporting projects that shape the future of Intel's platforms. This opportunity offers hands-on experience, skill-building, and collaboration with talented professionals to solve real-world challenges and make meaningful contributions to Intel's mission of creating world-changing technology.

Requirements

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
Proficiency in data analysis tools such as Python, R, or SQL.
Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
Strong foundation in data validation, cleansing, and statistical analysis.
Familiarity with reporting tools and techniques to present findings effectively.

Nice To Haves

Strong problem-solving skills with the ability to analyze complex datasets and derive actionable insights.
Effective collaboration and communication skills to work in a multidisciplinary team environment.
Enthusiasm for learning and applying new data science techniques and technologies.
Demonstrated ability to manage time and prioritize tasks in a fast-paced setting.

Responsibilities

Assist in the collection, analysis, and interpretation of large datasets to uncover meaningful insights.
Develop and maintain data models, dashboards, and visualizations to support decision-making and enhance the user experience across Intel platforms.
Collaborate with data scientists, analysts, and engineers on data-driven projects that align with Intel's business goals.
Support data validation and cleansing processes to ensure data accuracy and quality.
Contribute to problem-solving initiatives and data storytelling to communicate insights effectively to stakeholders.
Gain hands-on experience and explore career opportunities through projects in a collaborative environment.