Senior Associate, Data Science

About the role

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.

About BCL Data Science: We are a team of engaged, data-curious professionals who continuously seek new and improved ways to create value for our clients. We share ideas, code, outcomes, and credit for our collective efforts. We're looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges.

Responsibilities

• Exploring and experimenting with datasets to draw insights and search for client-specific and general solutions
• Uncovering audience insights for clients:
• Guiding non-technical stakeholders in choosing the right analysis to answer open-ended questions
• Independently formulating and executing an analytics plan; iteratively building on client feedback to get to a satisfactory answer
• Translating quantitative results back into actionable insights and interesting storytelling
• Hands-on machine learning and statistical modeling for audience segmentation/extension
• Collaboratively ideating and building tools that process, visualize, and analyze data to share across the organization
• Evaluating new data and tools; quickly learning to navigate new platforms; extract, transform, and load data from various partner cloud storage solutions
• Documenting and sharing knowledge with a wide variety of L’Oreal & BCL teams

Requirements

• 1 to 2 years of relevant experience
• Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing related fields
• Advanced quantitative degree or intensive bootcamp experience is preferred

Skills

• Hands-on expertise in SQL
• Hands-on expertise in Python
• Experience with cloud computing such as Google Cloud Platform or AWS

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
• STD/LTD insurance benefits

Pay

Compensation Range $45,000—$75,000 USD

Schedule

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 of required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.