Data Scientist II at . Crane Worldwide Logistics.

ESSENTIAL JOB FUNCTIONSCollaborate with internal partnersto build realistic optimization models by translating real-world requirements into model constraintsBridge the gap between real world business operations and models by designing decision systems thatoptimizefor sequences through timeImplement optimization models by selecting and tuning algorithmic approachesutilizingtechnical tools like solvers machine learning reinforcement learningDesign and conduct experiments (e.g.A/B testing) tovalidatehypotheses and measure outcomesPresent complex findings in a clear actionable waythrough visualizations dashboards interactive applications or technical reportsPartner with engineering platform teams to deployandmaintainproduction-ready pipelinesand servicesforoptimizationmodels & algorithmsMentor analysts and other self-service data consumers in advanced statistical and machine learning techniquesStay current on emerging methods tools and technologies in data scienceOther duties as assignedOTHER SKILLS & ABILITIESStrong programmingskills;familiarity with Julia Pythonor similar languagespreferredExperience selecting andutilizingopen source and commercial solversFamiliarity with deploying andmaintainingmodels in productionPreferred Skills:Proficient in developing Linear Programming (LP) and Mixed-Integer Programming (MIP) models using optimization frameworks such as CPLEXGurobi OR-ToolsPuLP andPyomoPrior experience making or publishing analytical web apps ()Proficiencywith machine learning libraries and frameworks (scikit-learn TensorFlowPyTorch)Advanced knowledge of statistics experimental design and predictive modelingSkilled in SQL and comfortable working with large datasetsComfortable with BI tools and integrating data science outputs into business processesEDUCATION & EXPERIENCEBachelors degreein computer scienceApplied MathIndustrial Engineering Operations Research or a related field35 years of experience in data science advanced analytics or a related roleDemonstrated experience delivering end-to-end machine learning optimizationor forecastingsolutionsPROFESSIONAL CERTIFICATION(S)NonePHYSICAL REQUIREMENTSJobrequires the ability to use vision adjust focus and work on a standard computer screen.Jobmay require extended sitting or standinguseof standard office equipment.Jobwillrequirepresence on-site at the assigned work location.WHY SHOULD YOU WORK FOR CRANEAt Crane we believe in providing our employees with excellent benefits at a Great Place to Work.We offer:Quarterly Incentive Plan136 hours of Paid Time Off which equals 17 days for the year that can be used for Sick Time or for Personal UseExcellent Medical Dental and Vision benefitsTuition Reimbursement for education related to your jobEmployee Referral BonusesEmployee Recognition and Rewards ProgramPaid Volunteer Time to support a cause that is close to your heart and contributes to our communitiesEmployee DiscountsWellness Incentives that can go up to $100 per year for completing challenges in addition to a discount on contribution ratesCome join the leader in logistics and take your career in the right direction.Disclaimer:The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time as needed.The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.We maintain a drug-free workplace and perform pre-employment substance abuse testing.This position requires the final candidate to successfully pass an E-Verify Check.More Information: benefits are contingent upon meeting eligibility requirements and plan conditions. Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Full-Time Experience: years Vacancy: 1