About this role
Job title: Applied Machine Learning Scientist Intern - PhD
About the Role We are seeking a motivated and enthusiastic Data Science Intern to join Marvell's 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.
What You'll Do
- 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.
Nice to Have
- Familiarity with Generative AI and Large Language Models (LLMs) is a plus.
Compensation & Benefits
- Salary: 0 - 0 USD per hour.
- Benefits: 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.