Mativ is looking to hire college students for internships to develop advanced analytics and data science skills while supporting the company's strategic objectives.
Requirements
- Understanding of data pipelines and data integration.
- Experience with data governance and data modeling concepts.
- SQL, R, and Python and/or other Object-Oriented languages.
- Software and data model engineering concepts such as versioning, model deployment and model retraining etc.
- Python libraries experience such as Pandas, NumPy, MLFlow, Scikit-Learn, Matplotlib, Pytest, TensorFlow, and PyTorch.
- Understanding of git workflows and CI/CD.
- Experience creating and editing data visualizations using Power BI, Grafana, DataBricks or other BI Tools.
Responsibilities
- Enable and work with the BI team to build new capabilities in the Azure Cloud Environment and Power BI front end environments.
- Assist with developing documentation and repositories for the data models and dashboards engineered.
- Participate in multiple stages of analytics projects, including design, data integration, data modeling, and data visualization.
- Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create data-driven insights.
- Work with a variety of data modeling, data visualization, and analytical tools including Power BI, Data Bricks, and programming languages like SQL, Python, and DAX.
- Help maintain and optimize data pipelines and reporting infrastructure.
- Design and develop models to build solutions to tackle real-world business problems.
Other
- Pursuing a Bachelor's Degree in Computer Science, Business Analytics, Information Technology, Mathematics, Data Science, or any related degree.
- Minimum GPA requirement of 3.0.
- Experience with Excel and PowerPoint.
- Ideal candidates will possess high initiative and drive, with a curiosity to perpetually learn and improve our business.
- Strong analytical, organizational, presentation, and time management skills
