Marvell Technology · 1 week ago
Applied Machine Learning Scientist Intern - PhD
Marvell Technology is a leader in semiconductor solutions that drive data infrastructure across various sectors. They are seeking a motivated Data Science Intern to join their Data Analytics Team, where the intern will collaborate with experienced professionals to develop data-driven insights and build predictive models that address business challenges.
Internet of ThingsManufacturingSemiconductorTelecom & CommunicationsDSPWireless
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
Qualification
Required
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
Benefits
Medical, dental, and vision coverage
Perks and discounts
Robust mental health resources to prioritize emotional well-being
Paid holidays
Company
Marvell Technology
We believe that infrastructure powers progress. That execution is as essential as innovation. That better collaboration builds better technology.
Funding
Current Stage
Public CompanyTotal Funding
$2.03B2026-02-02Post Ipo Equity· $2.03B
2017-01-20Post Ipo Equity
2016-05-13Post Ipo Equity
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