Data Science, Data Engineering, ML Engineering, and Machine Learning Operations (MLOps) are all necessary practices that work together to enable companies to answer their most urgent business questions. Pioneering massively parallel data-intensive analytic processing, our team’s mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with top academics, industry experts, and highly skilled engineers to equip our internal teams to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as a Master’s Intern on our Customer Growth Marketing team in Round Rock, Texas.

Based on your skillsets and business needs, the role will be in either Data Science, Data Engineering, Machine Learning (ML) Engineering, or Machine Learning Operations (MLOps) within the Growth Marketing team.

Program Overview:

As an intern, you will be part of our Global Customer Growth Marketing organization which is spearheading Dell Technologies’ Digital Transformation by driving innovation in the way we deliver advanced Artificial Intelligence and Machine Learning technology that can help us better optimize our customer experience and business outcomes.

• This internship will merge data science, data engineering, and cutting-edge software engineering practices to build and deploy machine learning models at scale
• Projects will contribute to delivering predictions and recommendations for marketing and sales customer touchpoints at scale

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Qualifications:

• For Data Science roles: Experience in Python and SQL, specifically for data wrangling, exploratory data analysis, and modelling. Solid problem-solving skills and essential knowledge of probability and statistics. Foundational knowledge of statistical modelling techniques and methods (Decision Tree/Regression based methods etc.)
• For Data Engineering roles: Experience with SQL, Python, relational databases, and JSON. Basic knowledge in data modelling. Exposure to distributed-processing methods. Exposure to Apache Spark is a plus.
• For ML Engineering roles: Experience in Python, Java and/or C++. Basic knowledge of APIs, distributed processing methods, and introductory machine-learning concepts.
• For MLOps roles: Experience with general-purpose programming languages (such as Python, C or Java), container engines (Docker or Podman), and Linux distributions (Ubuntu, CentOS, etc.). Exposure to any DevOps/MLOps tools, such as Jenkins, Azure DevOps, or MLflow, is a plus.
• University projects/research, Kaggle competitions, Online courses/MOOCs, related internships is a plus

Desirable Requirements:

• Working towards an M.S. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Economics, or related quantitative or computational fields
• Graduation Date: December 2024 or Spring 2025

Dell’s Flexible & Hybrid Work Culture

At Dell Technologies, we believe our best work is done when flexibility is offered. We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page.

Compensation

Dell is committed to fair and equitable compensation practices. The pay range for this position is $47.05 - $64.69 per hour depending on location.

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

Dell Technologies Inc. is a multinational technology company. We are a diverse team with unique perspectives. United in our purpose, our strategy and our culture. Driven by our ambition and the power of technology to drive human progress. Unwavering in our commitment to equality, trust and advocacy for one another.