Top Hybrid Data Science Jobs in Philadelphia, PA
ZS is seeking a Data Science Engineer to work on predictive modeling for the clinical development ecosystem, focusing on building ML predictive models for study design decisions. Responsibilities include building model pipelines, scaling algorithms, enhancing ML Engineering platforms, implementing ML Ops, and writing production-ready code.
Design and develop machine learning models for credit card business decisions throughout the customer lifecycle. Research and implement tools for AI/ML model explainability and fairness. Collaborate with senior management to deliver innovative modeling solutions into production.
Work as a Director in PwC's OFRO team focusing on risk management, quality, compliance, and technology. Lead a team to support client engagement, assess and manage risks, and develop risk management strategies. Responsible for understanding technology and data risks, regulatory compliance, and driving positive outcomes for stakeholders.
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Lead ML Engineer responsible for developing ML algorithms, models, and data pipelines for digital and linear advertising. Provide technical leadership, measure ML model drifts, perform CI/CD processes, utilize Agile methodologies, work with Databricks platform, build and deploy models on AWS, mentor junior engineers. Fully remote position.
Top hybrid Companies in Philadelphia, PA Hiring Data + Analytics Roles
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