Data ScientistThe 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. $98,000 - $113,000 per year, DOEThe 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.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.Value Identification & Problem FramingPartner with executive and functional leaders to identify high-impact opportunities for data-driven transformationTranslate ambiguous business challenges into structured analytical problem statementsQuantify potential business value (inventory, service, margin, cash flow)Prioritize initiatives based on strategic importance and returnPerformance Expectations:Consistently identifies high-value opportunities aligned with business prioritiesDemonstrates strong problem-structuring and critical thinking skillsConnects analytical work directly to financial and operational outcomesAdvanced Analytics & Model DevelopmentDesign, build, and deploy predictive and prescriptive models, including:Demand forecastingInventory optimization (safety stock, EOQ/MOQ, multi-echelon)Supplier performance and lead time variabilityOperational efficiency and throughput optimizationPricing segmentation and optimizationEstimating tools and economic optimization modelsApply statistical, machine learning, and optimization techniquesEnsure models are scalable, interpretable, and aligned with business realitiesPerformance Expectations:Develops models that are both technically sound and practically applicableBalances sophistication with usability and business adoptionContinuously improves model performance and relevanceData Exploration & Insight GenerationPerform exploratory data analysis to identify trends, anomalies, and root causesPartner with Data Engineering to ensure clean, reliable datasetsIdentify and address data gaps and integrity issuesBuild datasets and structures for ongoing decision-makingPerformance Expectations:Produces actionable insights, not just analysisImproves data quality and usability over timeBuilds reusable data assets that scale across the organizationBusiness Integration & Decision EnablementTranslate analytical outputs into clear, actionable insightsEmbed models into business processes (SIOP, purchasing, planning, inventory)Drive adoption through usability and alignment with workflowsSupport leadership decision-making with data-driven recommendationsPerformance Expectations:Drives adoption of analytics into daily operationsCommunicates insights clearly to non-technical stakeholdersEnsures solutions are practical and sustainableTransformation & InnovationChallenge legacy processes and identify step-change improvementsLead or support initiatives related to forecasting, inventory, service, and digital enablementContribute to building a data-driven culturePerformance Expectations:Actively contributes to transformation initiativesIdentifies opportunities for innovation and disruptionBuilds momentum for continuous improvement and changeCommunication & InfluencePresent findings and recommendations to senior leadershipCommunicate complex concepts in clear business termsInfluence cross-functional stakeholders to adopt new approachesPerformance Expectations:Effectively communicates with both technical and business audiencesBuilds credibility as a trusted advisorDrives alignment and action across teamsKey Performance Focus AreasPerformance in this role is measured through contribution to the following areas:Forecast accuracy and demand planning effectivenessInventory performance (turns, working capital, service levels)Operational efficiency and throughput improvementsMargin expansion and cost optimization opportunitiesData quality, integrity, and accessibilityAdoption of analytics within core business processesWhat Success Looks LikeMeasurable business impact across supply chain, operations, and commercial performanceData-driven decision-making becomes embedded in daily operationsStrong adoption of models and insights across the organizationContinuous pipeline of high-value analytical initiativesRecognized as a key contributor to enterprise transformationQualifications, Education and/or Experience: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 fieldExperience applying statistical modeling, machine learning, and optimization techniquesExperience working with large datasets and data visualization toolsStrong business acumen with ability to translate data into actionable insightsExperience in supply chain, operations, or manufacturing environments preferredProficiency in tools such as Python, R, SQL, and data visualization platformsStrong problem-solving and analytical thinking skillsAbility to manage multiple priorities in a fast-paced environmentWhy HerculesOpportunity to make a material impact; your work will matterWork in a company that is actively transforming and investing in data and analyticsEmployee-owned (ESOP), aligning effort with long-term value creationRight-sized organization: large enough for complexity, small enough for visibility and impactA culture that values curiosity, problem-solving, and continuous improvementLanguage SkillsAbility to effectively communicate with customers and staff to make an accurate assessment of customer needs.Mathematical SkillsAbility to perform basic mathematical calculations required to accurately complete assigned tasks.Computer SkillsIntermediate/Advanced computer skills, including Microsoft Office and ability to learn any additional software needed to perform job duties.Reasoning AbilityAbility to interpret a variety of instructions furnished in oral or written form. Ability to use sound judgment and problem-solving skills.Attendance DemandsAttendance is required Monday through Friday 8:00 A.M. to 5:00 P.M. or within normal business hours as established by the supervisor.
Employee may be required to work overtime, and occasional Saturday's and Sunday's.Physical DemandsWhile performing the duties of this job, the employee is regularly required to sit; walk and stand; use hands, handle, or feel; and required to speak, read, and hear English. The employee frequently is required to reach with hands and arms. The employee is occasionally required to climb or balance; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include the ability to adjust focus.Work EnvironmentThe noise level in the work environment is usually moderate but may be loud on occasion.This position may on occasion be exposed to extreme weather conditions that may affect a warehouse environment.This is a fast-paced environment.DisclaimerThe preceding job description is designed to indicate the general nature and level of work performed by employees within this classification.
It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.Hercules Industries is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, religion, color, national origin,