Senior Analyst, Data Science

Omnicom Media Group US H&S•New York, NY

7d•$40,000 - $85,000•Hybrid

About The Position

Hearts & Science has been inspired by confident marketers seeking business advantage in a world of personalized digital marketing, where CRM and addressable channels converge, and decisions must be made in real time to aggregate effective reach and deliver the right message at the right time. Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation. As a member of the Hearts & Science data science team, you will 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. You will collaborate with other data scientists to build new utilities, improve methodologies, and explore a wide variety of datasets. This work may involve:

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

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