Crown Equipment Corporation logo

Senior Data Scientist

Crown Equipment Corporation
  • New Bremen, OH
    30+ days ago

    Job Description

    Company Description:

    Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

    Job Posting External

    Primary Responsibilities

    • Build and maintain scalable data science pipelines and workflows using modern tools and frameworks.
    • Implement MLOps practices to ensure model reproducibility, monitoring, and lifecycle management.
    • Collaborate with data engineering teams to ensure data quality, accessibility, and pipeline reliability.
    • Deploy models into production environments and monitor performance over time.
    • Develop and maintain code libraries, documentation, and best practices for data science work.
    • Identify high-value opportunities where advanced analytics can drive business outcomes.
    • Evaluate and recommend new tools, technologies, and approaches to enhance data science capabilities.
    • Lead proof-of-concept initiatives to demonstrate the value of innovative analytical approaches.
    • Establish standards and frameworks for data science work across the organization
    • Design, develop, and deploy predictive and prescriptive models to address key business challenges in manufacturing, supply chain, quality, and operations.
    • Build machine learning models for demand forecasting, production optimization, predictive maintenance, quality prediction, and yield improvement.
    • Develop statistical models to identify root causes of process variations, defects, and operational inefficiencies.
    • Create optimization algorithms for resource allocation, production scheduling, and inventory management.
    • Apply natural language processing and computer vision techniques where applicable to manufacturing use cases.
    • Conduct A/B testing and experimental design to validate hypotheses and measure impact of interventions.
    • Partner with business stakeholders across manufacturing, operations, supply chain, quality, and maintenance to understand requirements and pain points.
    • Work closely with data engineers, analysts, and IT teams to integrate data science solutions into business processes.

    Minimum Qualifications

    • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, along with at least 5 years of experience
    • Non-degree considered if 12+ years of related experience along with a high school diploma or GED

    Preferred Qualifications

    • 6 years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization.
    • Experience leading projects that apply ML and data science to business functions.
    • Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS.
    • Knowledge of statistical and data mining techniques such as GLM/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, CNN, RNN.
    • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models.
    • MS in quantitative discipline (Computer Science, Data Science, Statistics or related fields).
    • Knowledge of Six Sigma, Lean Manufacturing, or related process improvement methodologies.
    • Experience with predictive maintenance, quality analytics, or process optimization in manufacturing.
    • Familiarity with IIoT platforms and edge computing.
    • Experience with computer vision applications for quality inspection or process monitoring.
    • Publications or presentations at data science conferences or in peer-reviewed journals.
    • Certifications in cloud platforms (Azure, AWS) or data science specializations.

    Work Authorization:

    Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.

    No agency calls please.

    Compensation and Benefits:

    Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.

    EOE Veterans/Disabilities

    Numbers & Facts

    LocationNew Bremen, OH
    IndustryManufacturing - Other
    Company Size10,000 employees or more
    Year Founded1945
    Websitehttps://www.crown.com/

    About Company

    Crown Equipment Corporation designs, manufactures, distributes, services and supports material handling products that provide customers with superior value. Since its entry into the material handling equipment industry in 1956, Crown has distinguished itself from competitors with exceptional product designs and a unique business approach based on vertical integration. When it says Crown on the outside, it's a Crown on the inside. Crown designs and manufactures 85 percent of its lift truck components, including key parts like motors, drive units, and electronic modules.

    Skills

    • A/B Testingunmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Business Processesunmatched
    • C++ Programming Languageunmatched
    • Cloud Computingunmatched
    • Computer Scienceunmatched
    • Computer Skillsunmatched
    • Computer Visionunmatched
    • Conferencesunmatched
    • Cost Controlunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Miningunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Data Visualizationunmatched
    • Deep Learningunmatched
    • Demand Forecasting/Planningunmatched
    • Documentationunmatched
    • Environmental Monitoringunmatched
    • Ergonomicsunmatched
    • Experiment Designunmatched
    • Forkliftunmatched
    • High School Diplomaunmatched
    • IBM SPSS Statistical Packageunmatched
    • Information Technology & Information Systemsunmatched
    • Inventory Managementunmatched
    • JavaScriptunmatched
    • Leadershipunmatched
    • Lean Manufacturingunmatched
    • Lean Six Sigmaunmatched
    • MATLABunmatched
    • Machine Learningunmatched
    • Manufacturingunmatched
    • Manufacturing Operationsunmatched
    • Microsoft Windows Azureunmatched
    • Multilingualunmatched
    • Natural Language Processing (NLP)unmatched
    • Optimization Algorithmunmatched
    • Performance Analysisunmatched
    • Predictive Modelingunmatched
    • Problem Solving Skillsunmatched
    • Process Improvementunmatched
    • Process Manufacturingunmatched
    • Production Scheduleunmatched
    • Production Systemsunmatched
    • Productivity Managementunmatched
    • Proof of Conceptunmatched
    • Publicationsunmatched
    • Python Programming/Scripting Languageunmatched
    • Quality Controlunmatched
    • R Programming Languageunmatched
    • Resource Managementunmatched
    • Root Cause Analysisunmatched
    • SQL (Structured Query Language)unmatched
    • Scalable System Developmentunmatched
    • Statistical Analysis System (SAS)unmatched
    • Statistical Modelingunmatched
    • Statistical Programming Languagesunmatched
    • Statisticsunmatched
    • Supply Chainunmatched
    • Supply Chain Operationsunmatched
    • Text Miningunmatched
    • Time Trackingunmatched
    • Total Cost of Ownershipunmatched
    • Use Casesunmatched

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