Data Science/ Computer Science Intern - Masters

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, 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 IT - Data Analytics Team is at the forefront of driving Marvell’s Data Intelligence, Strategy, and Architecture initiatives. As a high-visibility team, we deliver critical data insights and analytics solutions to the operations and leadership group that empower data-driven decision-making at the highest levels.

Our team is responsible for executing global, high-impact projects that add significant value across the organization. By leveraging cutting-edge data analytics technologies and methodologies, we ensure that Marvell remains a leader in harnessing data for business advantage.

What You Can Expect

We are seeking a motivated and enthusiastic Data Science Intern to join our data and analytics team. This internship is an excellent opportunity for individuals looking to apply their academic knowledge of data science in a real-world setting. The intern will work closely with our experienced data scientists, engineers, and business stakeholders to develop data-driven insights and build predictive models that address business challenges.

Key Responsibilities:

• Collaborate with the data science team to gather, clean, and preprocess data from various sources.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and relationships within large datasets.
• Assist in building and optimizing machine learning models to solve business problems.
• Develop data visualizations, dashboards, and reports using tools like Power BI or Python libraries.
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Work with large-scale data sets using SQL, Python for data manipulation and analysis.
• Support the development and deployment of machine learning models in production.Support data integration and data engineering activities, including ETL processes, within Snowflake or Databricks environments. 

What We're Looking For

• Pursuing degree in Computer Science, Data Science, or related field
• Proficiency in Python for data analysis, including libraries like pandas, NumPy, scikit-learn, and matplotlib etc.
• Knowledge of SQL for querying databases.
• Understanding of basic statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
• Familiarity with data visualization tools such as Power BI or Python-based visualization libraries (e.g., seaborn, Plotly).
• Proficiency in data preprocessing, data transformation, and exploratory data analysis (EDA) to extract valuable insights from raw datasets.
• Familiarity with Generative AI and Large Language Models (LLMs) is a plus.

Expected Base Pay Range (USD)

22 - 45, $ 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 

For Internship roles, we are proud to offer the following benefits package during the internship - medical, dental and vision coverage or opt-out credit, perks and discount programs, virtual fitness subsidy, wellness & mental health support including coaching and therapy, paid holidays, paid volunteer days and paid sick time. Additional compensation maybe available for intern PhD candidates.

This role is eligible for our hybrid work model in which you will be able to split time between working from home and on-site in a Marvell office.

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.

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