Analyst, Data Science

Omnicom Media; Toronto; On-site; CAD 55,000 - 65,000; Full time

Job summary

Omnicom Media in Toronto, Ontario is seeking a Data Science Analyst to support the development and delivery of quantitative models and analyses across marketing clients. You will work with predictive modeling, regression analysis, and time-series data to inform media, pricing, and promotions strategies.

This role is ideal for someone with a strong statistics background who wants hands-on client-service experience in a fast-paced environment, collaborating with senior team members and

Qualifications

• Strong foundation in statistical modeling, regression analysis and time-series.
• Experience with data manipulation and visualization in Python or R.
• Familiarity with multicollinearity, heteroscedasticity and model diagnostics.

Responsibilities

• Build and maintain data science models such as Marketing Mix Models using regression-based techniques across media, pricing, and promotions.
• Perform data validation, cleaning, and QA on client datasets to ensure model-ready inputs.
• Run statistical analyses including adstock transformations and decomposition outputs.
• Support model documentation and prepare outputs (Excel workbooks, charts, tables) for review.
• Collaborate with senior team members on methodology decisions and model refinement.
• Contribute to internal tooling and process improvements as the team scales.

Skills

Statistical modeling

Regression analysis

Time-series analysis

Data visualization

Written communication

Attention to detail

Bayesian methods

Marketing data

Internship/project experience

Education

Bachelor's or Master's degree in Statistics/Mathematics/Economics/Data Science or related quantitative field

Tools

Python

R

pandas

statsmodels

scikit-learn

Job description

Position Summary

We are looking for a Data Science Analyst to join our growing data science practice. In this role, you will support 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 is a great entry point for someone with a strong statistics background who wants to apply analytical skills in a fast-paced, client-service environment.

Agency

Omnicom Media

Job Function

Data and Analytics

Job Subfunction

Data Science and AI

Job Description

Position Summary

We are looking for a Data Science Analyst to join our growing data science practice. In this role, you will support 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 is a great entry point for someone with a strong statistics background who wants to apply analytical skills in a fast-paced, client-service environment.

Key Responsibilities

• Build and maintain 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.
• Conduct data validation, cleaning, and QA on client-provided datasets to ensure model-ready inputs.
• Run statistical analyses including adstock transformations, diminishing returns curves, and decomposition outputs.
• Support model documentation and prepare structured outputs (Excel workbooks, charts, summary tables) for internal and client review.
• Collaborate with senior team members on methodology decisions and model refinement.
• Contribute to internal tooling and process improvements as the team scales.

Desired Skills & Experience

• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
• Strong foundation in statistical modeling, particularly regression analysis and time-series methods.
• Comfort working in Python or R for data manipulation, modeling, and visualization (pandas, statsmodels, scikit-learn, or equivalent).
• Familiarity with concepts such as multicollinearity, heteroscedasticity, model fit diagnostics, and variable selection.
• Attention to detail and the ability to work carefully through large, messy datasets.
• Clear written communication skills for documenting analytical work.
• Exposure to Bayesian methods or hierarchical modeling.
• Experience with marketing data (media spend, impressions, GRPs) or consumer datasets.
• Prior internship or academic project experience in an applied analytics setting.

Salary Range: $55,000 - $65,000

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/

Salary Range: $55,000 - $65,000