Senior Data ScientistWe are looking for a dynamic, organized self-starter to join our Product Support and Logistics Division as a Senior Data Scientist in Morton, IL.ResponsibilitiesThe Client’s PIC Analytics Team uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Senior Data Scientist contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems.Job Duties/Responsibilities May Include, But Are Not Limited To:Statistical modeling and analysis of dealer parts demand & inventory managementImprovement of existing and development of new inventory optimization techniquesDevelopment, execution, and analysis of inventory management simulationsAnalytics-based research in both independent and project team environmentsAd-hoc problem solving, data analysis, data processing, and data visualizationDeveloping/refining large-scale solutions to fit complex situations in multiple unique environmentsBuilding familiarity with PIC system functionality and dealer service parts management practicesDecision-making on routine, medium-risk issues that affect project teams and internal customersEffective communication of complex concepts and solutions to stakeholders & internal customersPython coding, transitioning sql or sas code, optimizing code, writing codeProblem solvingResearch & analytical thinkingWorking on improving/establishing Living Machine Logistics (LML) with Client team.Team meetingsSupport and running simulations.Support in other projects as needed.Technical Skills RequiredExperience with analytical tools like SAS, SQL, R, Python, Tableau, Advanced Excel, Power BI (desired).Demonstrated experience working in MS Office and industry standard statistics and data visualization packages3+ years of professional experience utilizing quantitative analysisKnowledge of basic statistical approaches and/or data management techniquesDesiredProject management2-4 years’ experience with Customer, working with a different unit or working with different products, processes or systems is desirable.Soft Skills RequiredTeamworkInitiativeInterpersonal SkillsEffective communication (verbal and with digital media)Experience interacting directly with dealers or external customers.Exhibited the ability to work on increasingly more complex assignmentsEducation RequirementBachelor’s degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of professional experience utilizing quantitative analysis. Will accept a Master’s degree and 2-3 years of experience, or a PhD in one of the associated fields.