Data Science InternMarvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Marvell IT - Data Analytics Team is at the forefront of driving Marvell's Data Intelligence, Strategy, and Architecture initiatives. 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.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 fieldProficiency 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): 0 - 0, $ 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.