Beauty Co-Lab (BCL) is a bespoke Omnicom Media Group unit for L’Oréal USA delivering an industry-leading agency solution that drives business growth and transformation.
With deep expertise in data and technology, we deliver audience first, full-funnel and omni-channel strategies to deliver against L'Oréal's mission: Create the Beauty that moves the world.
For over a century, L’Oréal has devoted its energy, innovation, and scientific excellence solely to one vocation: Creating Beauty with a main goal of offering each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity.
At Beauty Co-Lab, our mission is to co-create what's next and our team of beauty champions and media challengers possess modern media, commerce, and analytics skillsets to keep pace with the rapidly changing ecosystem and reflect the wonderful diversity of the consumers and communities we serve. We are passionate about beauty, media, data, and technology.
The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients’ business goals.
ResponsibilitiesExternal facing responsibilities:
- Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers
- Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.)
- Adhere to set deadlines and ensure high quality work product
Internal facing responsibilities:
- Leverage technical (coding) skills to help bring about process efficiencies
- Contribute to building decks and reports that help translate analytical results to internal and client teams
- Contribute to building DS Practice knowledge repository via decks, documents and other artifacts
- Hands-on programming language skills (SQL, Python, R, etc)
- Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information
- Advanced presentation and communication skills
- Some experience working with non-technical teams
- Knowledge of digital clean rooms, and their related concepts and strategy
- Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
- Demonstrated domain knowledge of business/industry
- A university degree in mathematics, computer science, statistics or related field, and 3-5 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting
- Knowledge of agency-side execution process is desirable, but not required
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This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: 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.
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
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Skills Required
- Hands-on programming language skills
- Intermediate exposure to machine learning techniques
- Advanced presentation and communication skills
- Some experience working with non-technical teams
- Knowledge of digital clean rooms
- Certifications in Meta, SQL, Python, R
- Demonstrated domain knowledge of business/industry
Omnicom Media Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Omnicom Media Group and has not been reviewed or approved by Omnicom Media Group.
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Leave & Time Off Breadth — PTO, sick and personal days, Summer Fridays, some long‑weekend office closures, and a year‑end shutdown are part of the package in many units. These practices create appealing time‑off options beyond baseline holidays.
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Flexible Benefits — Hybrid schedules (often three days in office and two remote) and flexible core hours are common in several regions. Optional telecommuting is also available at some entities within the group.
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Wellbeing & Lifestyle Benefits — Offerings such as mental wellbeing support, an Employee Assistance Program, subsidized gym membership, cycle‑to‑work, and daily food allowances (in some offices) add lifestyle value. Social clubs and multi‑faith facilities extend community and convenience benefits in certain markets.
Omnicom Media Group Insights
What We Do
Omnicom Media Group (OMG), the media services division of Omnicom Group Inc., delivers transformational experiences for consumers, clients, and talent. Powered by the Omni marketing orchestration system, OMG connects best-in-class capabilities that enable our full-service media agencies OMD, PHD, and Hearts & Science to deliver more relevant and actionable consumer experiences, more productive and proactive client experiences, and more collaborative and rewarding talent experiences for the more than 24,000 people serving the world’s leading brands in OMG agencies around the globe.
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