Data Scientist

Hercules Industries • Denver, CO

18h • Onsite

About The Position

The Data Scientist is a high-impact, strategic role responsible for identifying, developing, and deploying data-driven solutions that transform how Hercules Industries operates. This position goes beyond traditional analytics, focusing on driving measurable business value through advanced modeling, insight generation, and business integration. The Data Scientist partners with leadership across supply chain, operations, and commercial functions to uncover opportunities, challenge legacy processes, and enable a step-change in decision-making and performance. This role contributes to both incremental optimization and breakthrough innovation that supports long-term enterprise value creation. The purpose of this role is to drive enterprise performance by translating complex business challenges into data-driven solutions that improve decision-making, optimize operations, and enable scalable, sustainable competitive advantage. This role contributes to outcomes across forecasting → inventory → operations → performance by embedding analytics into core business processes and building a foundation for a modern, data-driven organization.

Requirements

• Bachelor’s degree in data science, Statistics, Mathematics, Engineering, Economics, or related field
• 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
• 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
• Ability to effectively communicate with customers and staff to make an accurate assessment of customer needs.
• Ability to perform basic mathematical calculations required to accurately complete assigned tasks.
• Intermediate/Advanced computer skills, including Microsoft Office and ability to learn any additional software needed to perform job duties.
• Ability to interpret a variety of instructions furnished in oral or written form.
• Ability to use sound judgment and problem-solving skills.

Nice To Haves

• Master’s degree preferred
• Experience in supply chain, operations, or manufacturing environments preferred

Responsibilities

• 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
• Design, build, and deploy predictive and prescriptive models, including: Demand forecasting, Inventory optimization (safety stock, EOQ/MOQ, multi-echelon), Supplier performance and lead time variability, Operational efficiency and throughput optimization, Pricing segmentation and optimization, Estimating tools and economic optimization models
• Apply statistical, machine learning, and optimization techniques
• Ensure models are scalable, interpretable, and aligned with business realities
• 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
• 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
• 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
• Present findings and recommendations to senior leadership
• Communicate complex concepts in clear business terms
• Influence cross-functional stakeholders to adopt new approaches

Benefits

• Employee-owned (ESOP), aligning effort with long-term value creation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior