Marvell Technology-posted 3 months ago
$26 - $51/Yr
Intern
Santa Clara, CA
5,001-10,000 employees

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. The 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.

  • 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.
  • 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.
  • 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.
  • Medical, dental and vision coverage.
  • Perks and discount programs.
  • Wellness & mental health support including coaching and therapy.
  • Paid holidays.
  • Paid volunteer days.
  • Paid sick time.
  • Additional compensation may be available for intern PhD candidates.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service