Data Scientist - Assistant Manager Ernst & Young AE

Core Responsibilities:

• Problem Framing & Target Definition:

• Translate commercial goals into modeling problems (e.g., churn, propensity to buy, uplift, LTV, survival/tenure) with clear success metrics and guardrails
• Identify relevant data sources to mine for client business needs, and collect large structured and unstructured datasets and variables

• Data Analysis:

• Serve as data strategist to identify and integrate new datasets and execute analytical experiments to help solve problems across various domains and industries
• Devise and utilize algorithms and models to mine data, perform data and error analysis to improve models, clean and validate data for uniformity and accuracy
• Analyze data for trends and patterns, and interpret data with clear objectives in mind

• Model Development:

• Create reproducible pipelines and a feature registry to calculate model inputs
• Develop and evaluate churn, cross/upsell propensity, uplift/treatment effect, LTV, ranking/NBA models and select algorithms fit for data, scale, and explainability
• Use clear control/holdouts, quantify precision vs. recall, calibration, and profit curves, simulate outcomes and set practical thresholds and simple policies (eligibility, suppressions, frequency caps)

• Operationalization:

• Implement analytical models in production by collaborating with software developers and machine-learning engineers
• Implement scoring and integrate outputs with client MarTech/decisioning for SMS, email, in app, IVR, and agent assist
• Set up monitoring (performance, drift, calibration, data quality), alerting, and retrain cadence with rollback criteria

• Governance, Risk & Explainability:

• Produce model cards, document features/exclusions, and run proportionate explainability/fairness checks for regulated contexts and maintain audit ready artifacts

• Enablement & Acceleration:

• Create templates, reusable code, and quick start notebooks, /coach client analysts on model usage and monitoring
• Contribute to practice POVs/case studies as needed