Data Scientist

Job Summary

The Data Scientist is a high-impact, strategic role responsible for identifying, developing, and deploying data-driven solutions that transform how Hercules Industries operates. Salary range $98,000 – $113,000 per year, DOE.

Drive enterprise performance by translating complex business challenges into data-driven solutions that improve decision-making, optimize operations, and enable scalable, sustainable competitive advantage.

• Value Identification & Problem Framing
  • Partner with executive and functional leaders to identify high-impact opportunities for data-driven transformation
  • Translate ambiguous business challenges into structured analytical problem statements
  • Quantify potential business value (inventory, service, margin, cash flow)
  • Prioritize initiatives based on strategic importance and return
• Advanced Analytics & Model Development
  • Design, build, and deploy predictive and prescriptive models, including demand forecasting, inventory optimization, supplier performance, operational efficiency, pricing segmentation, and economic optimization models
  • Apply statistical, machine learning, and optimization techniques
  • Ensure models are scalable, interpretable, and aligned with business realities
• Data Exploration & Insight Generation
  • Perform exploratory data analysis to identify trends, anomalies, and root causes
  • Partner with Data Engineering to ensure clean, reliable datasets
  • Identify and address data gaps and integrity issues
  • Build datasets and structures for ongoing decision-making
• Business Integration & Decision Enablement
  • Translate analytical outputs into clear, actionable insights
  • Embed models into business processes (SIOP, purchasing, planning, inventory)
  • Drive adoption through usability and alignment with workflows
  • Support leadership decision-making with data-driven recommendations
• Transformation & Innovation
  • Challenge legacy processes and identify step-change improvements
  • Lead or support initiatives related to forecasting, inventory, service, and digital enablement
  • Contribute to building a data-driven culture
• Communication & Influence
  • Present findings and recommendations to senior leadership
  • Communicate complex concepts in clear business terms
  • Influence cross-functional stakeholders to adopt new approaches

• Bachelor’s degree in Data Science, Statistics, Mathematics, Engineering, Economics, or related field (Master’s preferred)
• 3–7+ years of experience in data science, advanced analytics, or related field
• Experience applying statistical modeling, machine learning, and optimization techniques
• Experience working with large datasets and data visualization tools
• Strong business acumen with ability to translate data into actionable insights
• Experience in supply chain, operations, or manufacturing environments preferred
• Proficiency in tools such as Python, R, SQL, and data visualization platforms
• Strong problem-solving and analytical thinking skills
• Ability to manage multiple priorities in a fast-paced environment

Attendance is required Monday through Friday 8:00 A.M. to 5:00 P.M. or within normal business hours as established by the supervisor. Overtime, occasional Saturdays, and Sundays may be required.

Physical demands include sitting, walking, standing, using hands, speaking, reading, and hearing English. The employee may occasionally lift and/or move up to 50 pounds.

Work environment may involve moderate to loud noise and occasional exposure to extreme weather conditions. This is a fast‑paced environment.

Hercules Industries is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as a qualified individual with disability, or other legally protected status.

Equal Opportunity Employer