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L'Oréal · 1 day ago

Director, Data Science, Commerce

United States

Full-time

Remote

Director/Executive

$138K/yr - $200K/yr

8+ years exp

L'Oréal is seeking a Director of Data Science to join their North America Commerce Analytics team, focusing on advanced analytics for the commercial organization. The role involves setting the data science strategy, managing a team, and leading complex projects that extract insights from large datasets using statistical analysis and machine learning techniques.

BeautyConsumer GoodsCosmetics

H1B Sponsor Likely

Responsibilities

Manages another data scientist and sets the technical direction for the team

Oversees multiple projects and initiatives

Develops data science strategy and roadmap. Influences senior leadership on data-driven decisions

Develops and implements best practices for data science within the organization

Provides direction/basic operational guidance to small IC team; oversees daily activities. In certain instances, may be an individual contributor with deep subject matter expertise

Leads complex, multi-disciplinary projects with significant business impact. Deals with large-scale datasets and complex analytical challenges. Handles ambiguity and evolving requirements

Data Collection and Preparation: Gather data from various sources, which can include databases, APIs, web scraping, and sensor data; clean, transform, and prepare this data for analysis

Leverage Exploratory Data Analysis techniques to understand the underlying structure of the data, identify trends, and formulate hypotheses

Create visualizations, calculate summary statistics, and look for anomalies or outliers in the data

Select, transform, and create relevant features (variables) from the existing data to improve the performance of machine learning models

Develop and train machine learning models to predict future outcomes or classify data into different categories

Evaluate, model its performance using various metrics and validate the model on unseen data to ensure it generalizes well and isn't overfitting to the training data

Deploy and monitor model's performance over time and retrain it as needed to maintain accuracy

Qualification

Statistical modelingMachine learningData visualizationPythonCloud platformsStakeholder managementCommunication skillsStrategic thinking

Required

8-12+ years of experience. Proven leadership experience in managing data science teams and delivering significant business impact

Deep expertise in statistical modeling, machine learning, and other advanced analytical techniques

Experience with building and deploying production-ready models

Proficient in core data science languages (Python, R, SQL), statistical modeling, machine learning algorithms, and data visualization tools

Experience with cloud platforms (AWS, Azure, GCP) and big data technologies

Strong communication and presentation skills

Experience in data storytelling using visualizations to provide insight and gain buy-in from senior leadership (incl. c-suite)

Strong business acumen and strategic thinking

Excellent communication and stakeholder management skills

Benefits

Competitive Benefit Package (Medical, Dental, Vision, 401K, Pension Plan)

Hybrid Work Policy (3 Days in Office, 2 Days Work from Home)

Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More!)

Access to Company Perks (VIP Access to L’Oréal’s Internal Shop for Discounted Products, Monthly Mobile Allowance)

Learning & Development Opportunities (Unlimited Access to E-learnings, Lunch & Learn Sessions, Mentorship Programs, & More!)

Employee Resource Groups (Think Tanks and Innovation Squads)

Access to Mental Health & Wellness Programs

Company

L'Oréal

Glassdoor4.0

No.1 Beauty Group Worldwide. No.1 most innovative company in Europe (Fortune's ranking).

Founded in 1995

Petaling Jaya, Selangor, MYS

10001+ employees

https://www.loreal.com/en/malaysia/

H1B Sponsorship

L'Oréal has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (2)

2024 (1)

2023 (6)

2022 (1)

2021 (3)

2020 (2)