Daniel Marrero in

Daniel Marrero

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Director, Lead Demand Data Science at The Estée Lauder Companies Inc.
📍 New York City Metropolitan Area, United States

Daniel Marrero serves as the Director and Lead for Demand Data Science at The Estée Lauder Companies. He specializes in creating statistical forecasting models, data engineering, and business analytics. His career highlights include building and scaling data platforms in Databricks and significantly improving forecast accuracy in previous roles.

He built a "Golden Dataset" in Databricks using SQL, PySpark, and pandas, which powers a Power BI dashboard used daily by company VPs for decision-making.

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Experience
13 Years
Current Role
Director, Lead Demand Data Science
Job Level
Mid-senior
Location
New York City Metropolitan Area, United States
Personality Overview

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Priorities

Topics Daniel cares about

Demand Forecasting
He has extensive experience building and deploying statistical models (ETS, ARIMA, Prophet) to improve forecast accuracy, achieving a 20% WMAPE reduction in a prior role.
Data Engineering
He leads data engineering initiatives, having built a "Golden Dataset" in Databricks to centralize information and enable cross-functional, governed decision-making.
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Career

Work history

11-2025
Director, Lead Demand Data Science
The Estée Lauder Companies Inc.
7-2023 - 11-2025
Director, Business Analytics / Engineering - TRWW
The Estée Lauder Companies Inc.
1-2020 - 7-2023
Manager, Statistical Modeling - Demand Planning
The Estée Lauder Companies Inc.
7-2017 - 12-2019
Senior Demand Planner - eCommerce
Luxottica
5-2013 - 7-2017
Manager, Demand Planning - Business Process
Hudson's Bay Company
In the press

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Education

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Behavioral profile

DISC profile (public)

DISC behavioral profile

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