Responsibilities

• Build causal experimentation models to advance L’Oréal’s learning agenda.
• Co-develop best-in-class statistical learning techniques with the L’Oréal Advanced Analytics team to solve complex media challenges.
• Partner with Planning & Investment teams to provide both hands-on and strategic analytics support across the entire campaign lifecycle.
• Demonstrate excellent project management skills , with the ability to set goals, meet deadlines, and act with a strong sense of urgency without compromising executional excellence.
• Develop the Advanced Analytics practice knowledge repository and provide guidance to junior members of the team to support the vision.
• Elevate the current analytics methodology by building replicable statistical frameworks that adhere to scientific rigor while maintaining commercial applicability.
• Provide support in media strategy, measurement, and optimization requiring expertise in advanced analytics work, with a special focus on marketing mix models (MMMs).

Requirements

• University degree in a quantitative field like Statistics, Math, Physics, Economics, Computer Science, or Engineering with 5+ years of experience (advanced degree preferred).
• Professional background in a media agency, in-house marketing team, or management consulting firm (strongly preferred).
• Experience applying advanced analytics within a media environment to solve business problems, including proficiency in coding (e.g., Python, R, SQL), querying databases, and statistical analysis.
• Deep understanding of Bayesian approaches, causal experimentation, media mix modeling, and their commercial application.

Preferred

• You have an insatiable appetite for learning, thrive in a fast-paced environment, and bring a positive attitude to any circumstance.
• You value culture. We are big on creating a fun environment where intellectual curiosity thrives and being a team player isn’t just 'nice-to-have'—it’s central to our ethos.
• You balance collaboration with conviction. You know when to challenge the norm and when to 'disagree and commit.'
• Most importantly, you love analytics! If this describes you, we want to hear from you!

Benefits

• health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.