Data Scientist

Hercules Industries•Denver, CO

2d•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 (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
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 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

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, supplier performance and lead time variability, operational efficiency and throughput optimization, pricing segmentation and optimization, and 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