Director, Data Scientist
Company: Estee Lauder Companies
Posted on: May 16, 2022
Description. Position Summary The Est--e Lauder Companies (ELC)
Inc. is a Fortune 500, multinational manufacturer and marketer of
prestige skincare, makeup, fragrance, and hair care products,
headquartered in New York City. As the global leader in prestige
beauty, we touch over half a billion consumers a year. The company
owns a diverse portfolio of brands, distributed internationally
through both digital commerce and retail channels. Director, Demand
Data Scientist is an individual contributor role. This role will be
responsible for analyzing large data sets to develop custom models
and algorithms to drive business solutions. Work on project teams
in order to provide analytical support to projects (for example,
email targeting, business optimization, consumer recommendations).
Responsible for building large data sets from multiple sources in
order to build algorithms for predicting future data
characteristics. Those algorithms will be tested, validated, and
applied to large data sets. Responsible for researching new trends
in the industry and utilizing up-to-date technology and analytical
skills to support assigned projects. Key Activities. Lead
deployment & optimization of machine learning forecasting models
for order & point of sale forecasts to maximize mix accuracy, plan
completeness, stability & reasonability for a complex worldwide
supply chain. Drive tactical model & statistical forecast
adjustments over different forecast horizons as business needs
arise (bias correction, startups, closures, new integrations). Lead
extension of models to include additional co-variates (promo, halo,
cannibalization). Develop an understanding of regional & global
business dynamics to inform & optimize modeling choices.
Collaborate with a wide array of regional & global stakeholders to
execute model deployment & optimization. Qualifications. Functional
Skills. Defines road map to accomplish strategic priorities.
Inspires others to make decisions based on the benefit to the
enterprise. Translates strategy to individual contributions.
Prepares for change by planning, allocating resources and assigning
roles. Proactively provides constructive feedback. Inspires
confidence in others to give their best. Articulates critical
project information to upper management in a clear and actionable
form. Guide's others to operate effectively in ambiguous
situations. Recognizes and champions great ideas within domain and
helps move those ideas forward. Seeks out how others have achieved
success, both inside and outside the Company, adapting appropriate
methods and applying Capabilities. Strong organizational skills,
with ability to successfully prioritize and manage multiple
accountabilities simultaneously. Ability to work within and across
multiple functional teams, collaborating with Planning, IT, Supply
Chain and Commercial stakeholders, and also external partners.
Strong written and oral communication skills - able to clearly
communicate complex analyses to senior level stakeholders. Strong
attention to detail - ability to accurately manage, update,
maintain large datasets. Strong technical knowledge - understanding
of setting up, using, maintaining statistical forecasting models /
tools. Highly analytical - able to conduct complex statistical
analysis providing high quality / accurate output. Exceptional
complex problem-solving abilities Additional Job Specifications
(e.g., physical demands, working conditions, equipment/machinery,
specific skills, etc.). Bachelor's degree or higher in Engineering,
Computer Science, Operations Research or related field. Minimum 10+
years of related experience in Operations Consulting or Data
Science role related to statistical forecasting. Knowledge of, and
experience with statistical forecasting techniques (classical time
series methods) & machine learning models (GLM, kernel machines,
neural networks - CNNs, RNNs, tree models), hyperparameter model
tuning, tradeoff considerations in model development & scaling.
Knowledge of, and hands-on experience with statistical modeling
packages (Python, R), cloud platforms (Azure, AWS, Databricks).
Knowledge of beauty industry and global / regional market trends,
supply chain is preferred.
Keywords: Estee Lauder Companies, Stamford , Director, Data Scientist, Executive , Islip, Connecticut
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