Lead end-to-end design of high-complexity models, including deep learning, advanced forecasting, optimization, and NLP.
Define data science strategy and roadmaps in partnership with senior leadership.
Architect feature engineering frameworks, experimentation standards, and modeling conventions.
Oversee deployment and integration of models using Spark and Databricks.
Monitor model performance and detect model drift in production environments.
Mentor L1 and L2 Data Scientists, standardize best practices for code and modeling.

Advanced Modeling: Leads end-to-end design of high-complexity models, including deep learning, advanced forecasting, optimization, and NLP.
Data Science Strategy: Partners with senior leadership to define data science strategy and roadmaps, guiding the analytical direction of the organization.
Feature Engineering & Experimentation: Architects feature engineering frameworks, experimentation standards, and modeling conventions. Applies strong knowledge of experimentation and causal inference.
Azure & Databricks: Oversees deployment and integration of models using Spark and Databricks. Strong experience deploying models in Azure Databricks using MLflow.
Model Monitoring: Skilled in monitoring model performance and detecting model drift in production environments.
Technical Leadership: Mentors and technically guides L1 and L2 Data Scientists. Reviews and standardizes best practices for code, modeling, documentation, and validation.
ML + BI Integration: Applies strong critical thinking to integrate machine learning outputs with business intelligence tools (Power BI preferred) to drive business impact.
Executive Communication: Communicates analytical direction and insights to C-level and VP-level stakeholders.
Technical English: Proficiency in reading, writing, and presenting in English within technical and executive contexts.

Senior Data Scientist – AI Strategy, Advanced Analytics

Key skills