Applied Machine Learning Scientist Intern - PhD at Marvell… · Santa…

Summary: Marvell Technology is a leader in semiconductor solutions that drive data infrastructure across various sectors. They are seeking a 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 addressing business challenges. 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 Required Qualifications: - 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 Preferred Qualifications: - Familiarity with Generative AI and Large Language Models (LLMs) is a plus Required Skills: Python, SQL, Machine Learning Important Skills: Data Visualization, Data Preprocessing Nice-to-Have Skills: Exploratory Data Analysis, Generative AI, Communication Skills Benefits: 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.