• Quantitative Analytics & Model Development…

    PNC (Pittsburgh, PA)
    …qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and ... successful in this position. **Preferred Skills** Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks,… more
    PNC (11/21/25)
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  • Senior Quantitative Analytics & Model

    PNC (Pittsburgh, PA)
    …qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and ... successful in this position. **Preferred Skills** Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks,… more
    PNC (10/18/25)
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  • Staff Data Engineer

    The Walt Disney Company (Nicasio, CA)
    …experience with containerized workflows (Docker, Kubernetes). + Strong understanding of data pipeline requirements for model training, retraining, and evaluation ... strategies. + Knowledge of machine learning principles and how data quality impacts model performance. + Experience...learning principles and how data quality impacts model performance. + Experience with distributed training pipelines and… more
    The Walt Disney Company (12/18/25)
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  • Quantitative Analytics and Model Group…

    PNC (Pittsburgh, PA)
    …qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and ... successful in this position. **Preferred Skills** Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks,… more
    PNC (12/05/25)
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  • Quantitative Analytics and Model Consultant…

    PNC (Pittsburgh, PA)
    …qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design and implementation as well as data quality and ... successful in this position. **Preferred Skills** Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks,… more
    PNC (11/13/25)
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  • Quantitative Analytics and Model Consultant…

    PNC (Charlotte, NC)
    …qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design and implementation as well as data quality and ... successful in this position. **Preferred Skills** Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks,… more
    PNC (11/26/25)
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  • Sr Advanced Data Engineer

    Honeywell (Peachtree City, GA)
    … integration solutions that combine industrial IoT data streams with enterprise data sources for AI model training and inference **DataOps** : + Implement ... and maintain automated testing frameworks for data quality, data drift detection, and AI model performance monitoring + Create self-service data assets… more
    Honeywell (12/18/25)
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  • ML Data Platform Engineer

    AGCO Corporation (Tremont, IL)
    …use data to drive better machine learning outcomes. **What You'll Do** + Analyze model outputs to identify failure modes and data gaps. + Develop tools & ... the best tools + Collaborate with ML & product teams to align data initiatives with model and product goals. + Build and maintain an internal evaluation platform… more
    AGCO Corporation (11/18/25)
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  • AVP, Model Validation

    Banc of California (Los Angeles, CA)
    …and procedure, and the industry's leading practices. + Assist in evaluating model assumptions and weaknesses, data relevancy and completeness, conceptual ... verbal communication skills. + Familiarity with dealing with large data set. + Experience with model validation.....with large data set. + Experience with model validation.. + Proficiency in statistical programming skills such… more
    Banc of California (12/27/25)
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  • Staff Software Engineer, AI Data

    Google (Sunnyvale, CA)
    …architecture. + 5 years of experience with ML design and ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine tuning). ... velocity for ML researchers and product developers to use the data efficiently for model training/fine-tuning and product adoption. The ML, Systems, & Cloud AI… more
    Google (01/09/26)
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