Data Science Intern - Southfield, MI

Description

• Analytical Support for Business Problems: Apply foundational statistical methods and exploratory analysis to identify trends, patterns, and opportunities tied to construction and business operation.
• Machine Learning Development Support: Contribute to building, testing, and evaluating machine learning models under supervision, including feature engineering, model training, and performance validation.
• Data Pipelines and Automation: Support the development and monitoring of data pipelines and workflows to ensure reliable data availability for dashboards and models, following team standards and best practices.
• Data Visualization and Storytelling: Utilize tools like Power BI to create compelling data visualizations that communicate insights clearly and effectively to stakeholders.
• Data Exploration and Analysis: Assist in acquiring, cleaning, and exploring structured and unstructured data from internal and external sources to support analytics and modeling initiatives.

Requirements

• Basic knowledge of programming.
• Effective written and verbal communication skills, with the ability to collaborate across teams.
• Currently pursuing a bachelor’s or master’s degree in computer science, data engineering, software engineering, mathematics, statistics, or a related field.
• Strong analytical and problem-solving skills with the ability to learn quickly.
• High attention to detail and a commitment to maintaining data integrity and quality.
• Documentation and Continuous Learning: Document code, methodologies, assumptions, and results for reproducibility, and actively learn new tools and techniques (e.g., Databricks, SQL, Python, version control).

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance