Intern, Data Scientist

About the Role

As a Data Scientist Intern at Martin Marietta, you will be a member of the Data Engineering and Science team. This internship provides an opportunity to apply classroom knowledge to real-world business challenges while gaining experience with data, analytics, and emerging technologies. This position requires working onsite at a Martin Marietta office location.

Key Responsibilities

• Follow and promote Martin Marietta's safety, environmental, and ethical standards.
• Conduct data exploration, extraction, cleansing, standardization, and wrangling.
• Analyze data to identify trends, correlations, patterns, and opportunities to support business decision-making.
• Support the development, testing, and implementation of data science and machine learning solutions.
• Use AI-assisted development tools (e.g., GitHub Copilot, Snowflake Cortex Code) and standard engineering practices (e.g., Git, code reviews, CI/CD pipelines) to build, test, and document Python applications and APIs deployed on AWS and Snowflake.
• Assist in designing, building, and testing AI agents on Snowflake Cortex (Cortex Search, Cortex Analyst, Cortex Agents), including semantic models, document ingestion, and evaluation of agent responses.
• Support existing ML and optimization solutions through data validation, monitoring, and enhancements.
• Assist with building and maintaining data pipelines that load and transform data in Snowflake.
• Collaborate with the Data Engineering & Science team and cross-functional business partners to understand business needs and develop data-driven solutions.
• Document analytical processes, methodologies, and solutions.
• Demonstrate initiative, professionalism, adaptability, and a strong work ethic.
• Perform all responsibilities in accordance with the Company's Mission, Vision, Values, policies, procedures, and Code of Ethical Business Conduct.

Requirements & Tech Stack

• Proficiency in Python and data science libraries.
• Experience developing in Python (notebooks and scripts/applications).
• Familiarity with Git and SQL.
• Exposure to Snowflake and AWS preferred.
• Exposure to LLM APIs, prompt engineering, RAG, or AI agent frameworks is a strong plus.
• Experience with one or more business intelligence or data visualization tools (e.g., Streamlit, Alteryx, Power BI, Tableau) is a plus.

Qualifications

• Currently pursuing a bachelor’s or master’s degree in data science, mathematics, statistics, computer science, engineering, or another closely related quantitative field.
• Rising Junior, Senior, or Master's student preferred.
• Strong analytical, problem-solving, and critical-thinking skills.
• Strong verbal and written communication skills.
• Ability to work independently with minimal supervision and effectively manage multiple priorities.
• Ability to collaborate effectively within a team environment.
• Strong interest in applying data science, machine learning, and AI to solve real-world business challenges.