Data Science Intern
Pittsburgh, PA, United States
Koppers Inc.
We provide fully integrated, sustainability-based product, services, and solutions to infrastructure industries around the world.Job Responsibilities
Business Analysis:
- Collaborate with cross-functional teams to gather and document business needs.
- Assist in analyzing business requirements and translating them into AI solutions.
- Prepare and present reports and dashboards to communicate findings and recommendations.
Data Analysis and Modeling:
- Collect, clean, and preprocess large datasets from various sources.
- Develop and implement statistical models and machine learning algorithms to analyze data and generate insights.
- Support the development and implementation of AI models and algorithms.
- Participate in project meetings and provide insights based on data analysis.
- Assist in the evaluation of AI tools and technologies for business applications.
Qualifications
- Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field.
- Must be a rising junior or rising senior or graduate student to apply.
- Strong background in statistics.
- Proficiency in programming languages such as Python or R.
- Experience with data visualization tools like Power BI, or similar.
- Familiarity with AI and machine learning concepts.
- Working knowledge of Azure Machine Learning.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Ability to work independently and manage multiple tasks.
- Eagerness to learn and adapt in a fast-paced environment.
Koppers Inc. and its subsidiaries are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category or characteristic protected by federal law, state or local law.
Tags: Azure Computer Science Data analysis Data visualization Machine Learning Power BI Python R Statistics
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