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L'Oréal · 7 hours ago

Manager, Data Science, CPD Advanced Analytics

New York, NY

Full-time

Hybrid

Mid, Senior Level

$98K/yr - $140K/yr

3+ years exp

L'Oréal is a global leader in beauty and innovation, dedicated to providing the best beauty products. The Manager, Data Science position within the CPD Advanced Analytics team involves building sophisticated statistical and machine learning models to drive critical business decisions and influence inventory planning, pricing strategy, and product launches.

BeautyConsumer GoodsCosmetics

H1B Sponsor Likely

Responsibilities

Gather and integrate data from sales systems, promotional calendars, pricing databases, product attributes, consumer feedback, media spend, and external market sources

Develop deep understanding of key drivers including promotional mechanics, pricing strategies, product lifecycles, seasonal trends, and consumer behavior

Build production-grade sales forecasting models that incorporate seasonality, promotional effects, pricing dynamics, and holiday impacts

Develop predictive models including attribute-based launch forecasts, marketing mix models for media attribution, and consumer analytics leveraging text, sentiment, or behavioral data

Apply advanced statistical and machine learning techniques including time series analysis, regression modeling, causal inference, ensemble methods, and NLP/text mining

Ensure statistical rigor through backtesting, sensitivity analysis, and performance validation (with growth into deep learning approaches)

Deploy models to production on Google Cloud Platform with focus on scalability and reliability

Monitor performance over time, diagnose degradation, and implement governance practices including documentation, version control, and reproducibility

Partner with Finance, Marketing, Sales, and Supply Chain to understand challenges and frame analytical solutions

Translate complex statistical concepts into clear, actionable insights for non-technical executives and present findings to senior leadership

Build trusted relationships with stakeholders through consistent delivery and domain expertise

Qualification

Statistical modelingMachine learningPythonGoogle Cloud PlatformSQLTime series analysisNLP/text miningStakeholder partnershipCommunicationProblem-solving

Required

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or related quantitative field

3-5+ years building and deploying statistical and machine learning models in production

Strong foundation in statistical modeling and advanced analytics with expertise in multiple techniques (forecasting, regression, classification, causal inference, or experimental design)

Advanced proficiency in Python (pandas, scikit-learn, statsmodels) and SQL

Proven track record translating analytical problems into statistically sound, actionable solutions

Excellent communication skills with ability to explain technical concepts and influence decision-making

Preferred

Master's or PhD in Statistics, Mathematics, Computer Science, Economics, or Operations Research

Deep expertise in forecasting methodologies including time series analysis (ARIMA, SARIMA, Prophet, LSTM) and regression techniques

Experience with Google Cloud Platform (BigQuery, Vertex AI)

Background in CPG, retail, beauty, or e-commerce industries

Experience with forecasting, promotional modeling, pricing analytics, marketing mix modeling, NLP/text analytics, or consumer behavior modeling

Knowledge of NLP libraries (spaCy, NLTK, Hugging Face) or text mining techniques

Familiarity with deep learning frameworks (TensorFlow, PyTorch) and interest in applying neural networks

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)