Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.thejobnetwork.com

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Data Analysis Cloud Database Information Engineering Machine Learning Feature Engineering Model Validation Semi-structured Data Data Pipelines Databricks

Job description

• 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 Science Lead (SC or M level) should have experience leading data science project with rapid iterations in an agile manner.
• Should have experience developing AI/ML propensity modeling experience and in driving data engineering to support the model development and refinement.
• Driving the use of Data Assist or GenAI to accelerate the project would be great. Experience in HR domain would be ideal!
• Data Science Support (SC or C level) Should have AI/ML experience and be able to take direction and develop model as part of a team
• 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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