About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

Your Team, Your Impact

Marvell’s Compute and Custom Solutions (CCS) organization is seeking a talented Data Scientist Intern to join our Business Automation team. Our team applies data science, AI, and intelligent automation to improve business processes, increase efficiency, and enable better data-driven decision-making across CCS. We partner with business and technical teams to analyze data, develop predictive capabilities, and create innovative solutions to real-world business challenges.

What You Can Expect

As an intern, you will contribute directly to a data science project focused on transforming historical business data into predictive insights. You can also expect to:

• Clean and prepare historical business data for analysis and machine learning, identifying and resolving data quality issues, inconsistencies, and missing values.
• Analyze historical datasets to identify trends, relationships, outliers, and features that may contribute to predictive performance.
• Develop and train machine learning models using Python and established data science libraries to predict business outcomes based on historical data.
• Evaluate and compare modeling approaches using appropriate statistical and machine learning techniques to assess accuracy and reliability.
• Document and present the methodology, model performance, findings, and recommendations to the Business Automation team and business stakeholders.

What We're Looking For

Minimum Requirements:

• Currently pursuing a Bachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field, with an expected graduation date between Fall 2027 and Summer 2028.
• Proficiency in Python for data processing, analysis, and machine learning, including experience with libraries such as pandas, NumPy, and scikit-learn.
• Strong foundation in statistics, exploratory data analysis, feature engineering, and machine learning fundamentals.
• Experience working with structured datasets and using SQL to query, manipulate, and analyze data.
• Ability to analyze technical results and clearly communicate findings to both technical and non-technical audiences.

Preferred Requirements:

• Experience developing and evaluating predictive models using techniques such as regression, classification, decision trees, random forests, or gradient boosting.
• Experience developing and evaluating predictive models using modern and classical techniques such as LLM inference, embedding models, SVM, or XGBoost.
• Familiarity with Git or similar source-control and collaborative development tools.
• Prior academic, research, or project experience using real-world datasets to develop machine learning or predictive analytics solutions.

Expected Base Pay Range (USD)

29 - 57, $ per hour. The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements

Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights for our interns: medical, dental, and vision coverage, perks and discounts, robust mental health resources to prioritize emotional well-being, and paid holidays. Additional compensation may be available for intern PhD candidates. We look forward to sharing more with you during the interview process.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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