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# Senior Analyst, Data Science

- **Company:** Omnicom Media Group Holdings Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $70,000 - $80,000
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Validation, Python (Programming Language), Marketing Information Systems, Regression Analysis, Data Processing, Pandas, Scikit Learn, Statistics Packages
- **Published:** October 29, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pvbletczdx

## About the Role

We are looking for a Senior Analyst, Data Science to join our growing data science practice. In this role, you will lead the development and delivery of quantitative models and analyses across a portfolio of marketing clients, including predictive modeling, regression analysis, and statistical work spanning media, pricing, and promotional data. This role suits someone with 1-2+ years of hands-on analytics experience who is ready to take greater ownership of model design, client interaction, and mentorship of junior team members., * 1-2+ years of professional experience in analytics, data science, or a related quantitative role.

 * Clear, confident written and verbal communication skills, with experience presenting analytical work to stakeholders or clients.
 * Strong foundation in statistical modeling, particularly regression analysis and time-series methods.
 * Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
 * Proficiency in Python or R for data manipulation, modeling, and visualization (pandas, statsmodels, scikit-learn, or equivalent).
 * Solid understanding of concepts such as multicollinearity, heteroscedasticity, model fit diagnostics, and variable selection.
 * Demonstrated ability to work independently through large, messy datasets with strong attention to detail.

Nice to Have

 * Exposure to Bayesian methods or hierarchical modeling.
 * Prior experience with marketing data (media spend, impressions, GRPs) or consumer datasets.
 * Experience mentoring or reviewing the work of junior analysts.

What We Offer

 * Hands-on experience working across multiple industry verticals and client types.
 * A collaborative team environment with growth into more senior, client-facing responsibilities.
 * Exposure to the full MMM lifecycle, from data intake through to client delivery, with increasing ownership.

## Description

* Lead the build and maintenance of data science models such as Marketing Mix Models using regression-based techniques, working with weekly or monthly time-series data across media, pricing, and promotional variables.
 * Own data validation, cleaning, and QA processes for client-provided datasets, establishing best practices for model-ready inputs.
 * Run and interpret statistical analyses including adstock transformations, diminishing returns curves, and decomposition outputs, flagging issues in methodology or data quality.
 * Prepare and review model documentation and structured outputs (Excel workbooks, charts, summary tables) for internal and client review.
 * Partner directly with senior team members and clients on methodology decisions, model refinement, and results interpretation.
 * Mentor and review the work of junior analysts, providing feedback on code, methodology, and QA.
 * Drive internal tooling and process improvements as the team scales.