Senior Associate, Data Science

Adelphi Group•New York, NY

50d•$45,000 - $75,000•Hybrid

About The Position

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. 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.

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.
Must have hands-on expertise in SQL and Python
Experience with cloud computing such as Google Cloud Platform or AWS

Nice To Haves

Advanced quantitative degree or intensive bootcamp experience is preferred.

Responsibilities

Work with client team strategists and media buyers to create solutions that shape the strategic direction of your client’s marketing plans through data-driven insights.
Collaborate with other data scientists to build new utilities, improve methodologies, and explore a wide variety of datasets.
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