Job Title- Data Engineer
Location- New York, NY 10112
Reporting Type- Onsite
Duration: 10 months
Summary
This role involves building and delivering advanced data science and AI/ML solutions in an agile environment, with a focus on rapid iteration and business impact. The Data Engineer will drive end-to-end model development, including propensity modeling and integration with data engineering pipelines, while leveraging GenAI to accelerate outcomes. Supporting roles include Data Engineers who will collaborate to build models, manage data pipelines, and ensure scalable data infrastructure. Experience in the HR domain is a plus.
Responsibilities
Lead end-to-end data science projects using agile and iterative approaches.
Develop and deploy AI/ML models, including propensity modeling.
Drive data engineering requirements to support model development and optimization.
Leverage GenAI/Data Assist tools to accelerate data science workflows.
Collaborate with stakeholders to align models with business outcomes.
Build and refine machine learning models under guidance.
Perform data analysis, feature engineering, and model validation.
Support deployment and testing of AI/ML solutions.
Requirements
Data engineer (C level) should have experience building pipelines in AWS and cloud databases. Structured and unstructured data sets. Loading of data into S3 as well as tabular schemas. Databricks experience preferred.
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