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# Senior Associate, Data Science

- **Company:** OMNICOM LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $45,000.0 - $75,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Cloud Computing, Cloud Storage, Extract Transform Load (ETL), Information Management, Python (Programming Language), Machine Learning, SQL Databases, Google Cloud
- **Published:** October 13, 2026
- **Apply:** https://www.careerjet.com/job/us9b1b30bc80e55385da35e2e4b33c2759/eaa

## About the Role

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
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.

## Description

As a member of the BCL 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:
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