Internship

Data Science/ Computer Science Intern

Masters

Confirmed live in the last 24 hours

Marvell

Marvell

5,001-10,000 employees

Develops semiconductor solutions for data infrastructure

Data & Analytics
Hardware

Compensation Overview

$22 - $45Hourly

Santa Clara, CA, USA

Hybrid work model; requires on-site presence.

Category
Data Science
Data & Analytics
Required Skills
Power BI
Python
SQL
Pandas
NumPy
Databricks
Snowflake
Requirements
  • 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.
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.

Marvell Technology, Inc. specializes in semiconductor solutions that support data infrastructure for various industries, including telecommunications, data centers, and enterprises. Their products focus on high-performance capabilities for computing, storage, and networking, which are essential for handling the increasing demands of mobile data and the shift to 5G technology. Marvell's offerings include programmable and scalable platforms that help telecommunications operators enhance their network performance and capacity while managing costs. Unlike many competitors, Marvell's business model is primarily B2B, selling directly to other businesses that integrate their semiconductor products into their own systems. The company's goal is to provide efficient and secure data transmission and processing solutions that facilitate the growth of the digital economy.

Company Stage

IPO

Total Funding

N/A

Headquarters

Santa Clara, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

-11%

1 year growth

0%

2 year growth

-11%
Simplify Jobs

Simplify's Take

What believers are saying

  • Marvell's launch of the Structera product line addresses critical memory performance and scaling challenges, positioning it as a key player in cloud data center operations.
  • The company's active participation in open-source initiatives like SONiC and its leadership in technical committees highlight its influence and thought leadership in the industry.
  • Marvell's expansion into AI and machine learning connectivity solutions, such as the Alaska P PCIe retimer product line, aligns with the growing demand for high-bandwidth, low-latency data processing.

What critics are saying

  • Potential U.S. trade curbs on exporting chipmaking equipment to China could significantly impact Marvell's revenue and market presence in Asia.
  • The highly competitive semiconductor market, with giants like Intel and TSMC, poses a constant threat to Marvell's market share and innovation pace.

What makes Marvell unique

  • Marvell's focus on high-performance semiconductor solutions for data infrastructure, particularly in telecommunications and 5G, sets it apart from competitors who may not specialize in these areas.
  • The company's commitment to open-network software platforms, such as integrating Teralynx 10 with SONiC, demonstrates its adaptability and leadership in open-source ecosystems.
  • Marvell's strategic acquisitions, like Avera Semi, enhance its capabilities in both wired and wireless infrastructure, providing a comprehensive solution portfolio.

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