Lead technical direction for data science and AI solutions at Caterpillar. Focus on scalable solutions, agile planning, and technical leadership within teams.
About the role
- Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
Responsibilities
- Develop Predictive Models: Utilize Python and Scikit-learn (or similar frameworks) to assist in building, testing, and validating machine learning models for credit risk, fraud detection, or marketing propensity.
- Exploratory Data Analysis (EDA): Perform deep-dive analysis on large datasets to identify hidden trends, correlations, and opportunities for cost savings or revenue growth.
- Data Visualization & Reporting: Create dynamic dashboards and insightful reports that translate complex findings into clear recommendations for executive leadership.
- Statistical Validation: Apply statistical tests to ensure the integrity of our data and the reliability of our forecasting models.
- SQL Strategy: Write and optimize complex SQL queries to extract data from our MySQL databases and AWS S3 data lake for modeling and analysis purposes.
Requirements
- Currently pursuing or holding a bachelor's degree or master’s degree in a quantitative field such as Computer Science, Data Science, Statistics.
- Strong analytical, critical thinking and problem-solving skills.
- Proficiency in Python and MySQL, with hands-on experience in using Github/Bitbucket and Jira for code management and project tracking.
- Experience in or a desire to learn tools like Google Sheets for data analysis and presentation, showcasing the ability to manage and process data efficiently.
- Solid written and verbal communication skills.
- An exceptionally strong desire to take on ownership roles in projects, learn new skills, see how analytics can drive value in industry.
Benefits
- Paid Summer Internship Program
- Hands-on experience
- Opportunities tailored to different interests and skill sets
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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