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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.
- Expected Base Pay Range (USD) 26 - 51, $ 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 For Internship roles, we are proud to offer the following benefits package during the internship - medical, dental and vision coverage, perks and discount programs, wellness & mental health support including coaching and therapy, paid holidays, paid volunteer days and paid sick time.
- Additional compensation may be available for intern PhD candidates.
- Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com .
- Interview Integrity As part of our commitment to fair and authentic hiring practices, we ask that candidates do not use AI tools (e.g., transcription apps, real-time answer generators like ChatGPT, CoPilot, or note-taking bots) during interviews.
- Our interviews are designed to assess your personal experience, thought process, and communication skills in real-time.
- If a candidate uses such tools during an interview, they will be disqualified from the hiring process.
- This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR).
- As such, applicants must be eligible to access export-controlled information as defined under applicable law.
- Marvell may be required to obtain export licensing approval from the U.S.
- Department of Commerce and/or the U.S.
- Department of State.
- Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment. #LI-SC1
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503 positions
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/job/Santa-Clara-CA/Applied-Machine-Learning-Scientist-Intern---PhD_2502662-1
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