Data Science Summer Intern
Job Description
JOB DETAILS
REQUIREMENTS
- Return to school in the Fall of 2026 to complete degree program
- Currently enrolled in a PhD degree program in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or other quantitative fields
- Experience in analytics, data mining, and/or predictive modeling
- Experience modifying and applying advanced algorithms to address practical problems
- Experience with deep learning (CNN, RNN, LSTM, attention models, etc.), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and/or reinforcement learning
- Experience with open-source tools for deep learning and machine learning technology such as PyTorch, Keras, TensorFlow, scikit-learn, pandas
- Experience with large data analysis using Spark (pySpark preferred)
- Proficient in more than one of Python, R, Java, C++, or C
RESPONSIBILITIES
- Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources
- Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques
- Refine data manipulation and retrieval through the design of efficient data structures and storage solutions
- Innovate with tools designed for data processing and information retrieval
- Dissect and document vast datasets, analyzing and processing them to highlight patterns and insights
- Solve complex challenges by developing impactful algorithms
- Ensure model excellence by validating performance scores and analyzing ROI and benefits
- Articulate model processes and outcomes, documenting and presenting findings and performance metrics
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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