Senior Associate, Data Science
Beauty Co-Lab (BCL) is a bespoke Omnicom Media Group unit for reputed company USA delivering an industry-leading agency solution. The Senior Associate, Data Science will work with client team strategists and media buyers to create solutions that shape marketing strategies through data-driven insights and collaborate with other data scientists to improve methodologies and explore datasets.
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
Skills
- 1 to 2 years of relevant experience
- Bachelor's degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing reputed company fields
- Must have hands-on expertise in SQL and Python
- Experience with cloud computing such as reputed company Cloud Platform or AWS
- Advanced quantitative degree or intensive bootcamp experience
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
Company Overview