Senior Data Scientist

Design and deploy advanced scoring engines for Leads and Opportunities, including dynamic prioritization models and robust qualification frameworks.
Lead the development of Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to quantify marketing ROI and guide budget allocation.
Develop algorithmic strategies for Value-Based Bidding (VBB) and customer acquisition using predictive CLTV and conversion probability.
Own the full lifecycle from data ingestion to deployment, building scalable ELT/ETL pipelines in Snowflake and AWS.
Work with Salesforce Data Cloud and Agentforce to operationalize models and deliver insights to sales reps and marketers.
Implement robust MLOps practices including CI/CD, drift monitoring, and automated retraining.
Apply advanced statistical techniques such as Bayesian inference, causal inference, time-series forecasting, and experimental design.
Partner with commercial leadership to translate business objectives into technical roadmaps and explain complex model behaviors to non-technical audiences.
Mentor junior team members and define coding standards and best practices for commercial data science.