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.
Leading the Data teams at CarGurus, including Data Science, Data Engineering, and Product Data Analytics. Responsible for designing and implementing data strategies, overseeing data management, and staying up-to-date with emerging trends and technologies in the data space.
The Data Scientist at PwC's Products and Technology team is responsible for collecting domain context, defining hypothesis and prediction tasks, developing models, conducting experiments, validating models, producing pipelines, identifying insights, and communicating with stakeholders. The role also involves working as a Senior Manager to solve complex business issues and develop specialised expertise in technology areas.
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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.
Join JPMorgan Chase as a Lead Data Engineer responsible for designing, developing, and maintaining data solutions. Work on data pipelines, architectures, and analytics to support the firm's objectives. Utilize Java, Scala, Python, SQL, AWS, and Spark SQL.
Top hybrid Companies in Philadelphia, PA Hiring Data + Analytics Roles
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