New York, New York, United States
Director of Data Science leading teams to deliver AI and ML solutions at scale, including predictive and optimization models that drive measurable business impact. Combining consulting and manufacturing experience to transform complex business challenges into actionable, high-impact data solutions.
π₯π²ππ½πΌπ»ππΆπ―πΆπΉπΆππΆπ²π Β Β β’ Lead and mentor a team of 7 (5 data scientists, 2 software developers), fostering innovation and professional growth Β Β β’ Deploy predictive, optimization, and LLM-based models to generate insights, streamline workflows, and support data-driven decisions Β Β β’ Build Streamlit applications and interim solutions with business partners, modernizing manual workflows and ensuring continuity ahead of enterprise rollouts Β Β β’ Oversee data infrastructure (Databricks, AWS, Snowflake) to scale pipelines, enable advanced modeling, and accelerate solution deployment π¦π²πΉπ²π°π ππ°π΅πΆπ²ππ²πΊπ²π»ππ Β Β β’ Developed XGBoost models in PySpark to forecast recipe demand across all US brands ($5B+ revenue), cutting MAE by 16% and generating $400K+ weekly in procurement savings Β Β β’ Deployed Streamlit tools, including a culinary insights dashboard (+10% recipe rating performance) and SKU export tool that eliminated quarterly production stoppages Β Β β’ Implemented a genetic algorithm to plan weekly menus, improving business metric accuracy by 12% and removing 80% of manual work Β Β β’ Won the North American AI Hackathon by creating a real-time voice agent that guides customers through the cooking process, showcasing innovative AI application
β’ Managed a team of data scientists developing the demand forecasting for 2.5M SKUs and $5B+ in cogs utilizing an ensemble of time series and ML models (built on Python and R) β’ Developed and maintained the nationwide inventory strategy for Walmart.com to determine which SKUs should be purchased into which regional fulfillment centers (built on Spark SQL / Big Query) β’ Collaborate with engineering team as the product manager to build enhancements and prioritize projects for the weekly forecasting process and the internal forecasting UI β’ Partnered with engineering to migrate data platforms from on-prem Hive DB to Google Cloud
β’ Partnered with internal logistics partners to launch an ocean shipping product on Alibaba.com β’ Created strategy roadmap for online product experience within the purchase journey for a buyer on the site