Data Scientist Intern

The Data Scientist Intern at Hercules Industries will play an active role in building a modern, data-driven enterprise. This is not a traditional internship focused on observation or support work, interns will work on real business problems that directly impact supply chain, operations, and customer outcomes. As part of Hercules’ transformation to a data-centric organization, this role provides the opportunity to apply data science to real-world industrial challenges, contribute to meaningful value creation, and gain direct exposure to business leaders and decision-making.

Interns will be expected to think critically, work collaboratively, and deliver insights that drive action. $24.00 PER HOUR; M-F 8 A.M.

- 5 P.M.

- STARTING SUMMER OF 2026

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

Problem Solving & Analytical Thinking

• Work on clearly defined, high-impact business problems such as:
• Demand forecasting and demand variability analysis
• Inventory optimization and parameter tuning (safety stock, lead times)
• Service level and fill rate analysis
• Supplier performance and lead time variability
• Break down business problems into structured analytical approaches
• Ask thoughtful questions to refine problem statements and assumptions
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
• Build analytical models using statistical and machine learning techniques (as appropriate to experience level)
• Develop data visualizations and summaries that communicate key findings
• Support the development of predictive and descriptive models alongside full-time data scientists

Data Preparation & Quality Awareness

• Work with datasets from ERP (M3), data warehouse, and operational systems
• Clean, structure, and validate data for analysis
• Identify data quality issues and highlight opportunities for improvement
• Collaborate with Data Engineers to understand data pipelines and structures

Business Integration & Insight Communication

• Translate analytical findings into clear, actionable insights
• Present results to team members and, where appropriate, business stakeholders
• Connect analysis to real business outcomes (e.g., inventory reduction, improved service levels)
• Support the development of recommendations that can be implemented in the business
• Work closely with:
• Data Scientists
• Supply Chain and Operations leaders
• Participate in regular project reviews and working sessions
• Actively seek feedback and continuously improve technical and business skills

QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each of the below essential duties satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability preferred. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

• Currently pursuing a bachelor’s or master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline
• Strong foundational knowledge of: statistics and probability

Data analysis and exploratory data analysis (EDA)

• Proficiency in at least one programming language commonly used in data science (e.g., Python or R)
• Experience working with data using tools such as SQL, Pandas, or similar frameworks
• Ability to structure ambiguous problems into clear analytical approaches
• Strong attention to detail and commitment to data accuracy and quality
• Effective communication skills, with the ability to explain insights to both technical and non-technical audiences

• Opportunity to work on projects that directly influence how a company operates
• Exposure to real supply chain, operations, and business challenges
• Ability to see your work drive measurable outcomes

• Hands-on experience with:
• Data analysis and modeling
• Business problem-solving
• Data visualization and communication
• Exposure to enterprise systems (ERP, data warehouse, CRM)

• Direct interaction with business leaders and decision-makers
• Understanding of how analytics supports strategy and operations
• Insight into how a mid-sized…