Associate Director, Data Science

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.

Responsibilities

External facing responsibilities:

• Partner with Planning & Investment teams to provide expert hands-on Data Science support across the entire campaign lifecycle.
• 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.)
• Strong project management skills with an ability to set priorities, meet deadlines and know when to ask for help
• Leverage technical (coding) expertise to help bring about process efficiencies

Internal facing responsibilities:

• 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
• Lead and train managers and other junior team members

Required Skills

• 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

Education and Experience

• A university degree in mathematics, computer science, statistics or related field, and 5-7 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.

Compensation Range

$90,000-$145,000 USD

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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