Data Science Analyst

Role overview

Omnicom Media Canada is hiring a Data Science Analyst to strengthen its growing data science team. The role focuses on building and supporting quantitative analysis for marketing clients, with work that includes predictive modeling, regression techniques, and statistical analysis across media, pricing, and promotional datasets. It is positioned as a strong starting point for someone with a solid statistics foundation who wants to apply their skills in a fast-moving, client-facing environment.

Core responsibilities

• Develop and support data science models, including Marketing Mix Models, using regression-based methods and weekly or monthly time-series inputs tied to media, pricing, and promotional data.
• Review client datasets through validation, cleaning, and quality checks so the inputs are ready for modeling.
• Perform statistical work such as adstock adjustments, diminishing returns analysis, and decomposition reporting.
• Help prepare documentation and create polished outputs like Excel workbooks, charts, and summary tables for both internal stakeholders and clients.
• Work closely with senior colleagues on methodology choices and ongoing improvements to model performance.
• Support internal tools and contribute to process enhancements as the team expands.

What the company is looking for

• A bachelor’s or master’s degree in Statistics, Mathematics, Economics, Data Science, or another quantitative discipline.
• A strong understanding of statistical modeling, especially regression and time-series analysis.
• Practical comfort using Python or R for manipulation, modeling, and visualization, with tools such as pandas, statsmodels, scikit-learn, or similar packages.
• Working knowledge of topics like multicollinearity, heteroscedasticity, model diagnostics, and variable selection.
• Careful attention to detail and the ability to handle large, messy datasets accurately.
• Strong written communication skills for documenting analytical findings clearly.
• Exposure to Bayesian approaches or hierarchical modeling.
• Experience working with marketing data such as media spend, impressions, or GRPs, or with consumer datasets.
• Previous internship or academic project experience in an applied analytics environment.

Compensation and benefits

The expected annual salary for this role is CAD 55,000 to CAD 65,000. Omnicom Media also offers competitive compensation and benefits.

• At least 37 paid days off, including vacation time and monthly wellness days.
• Four-day long weekends, half-day summer Fridays, and meeting-free Friday afternoons throughout the year.
• A flexible hybrid work model.
• Access to formal training and personal development support, including mental health training and inclusion education.
• Opportunity to grow within a global agency network.
• Participation in employee communities such as Black Employee Network, Girls on Fire, Hispanic or Latinx Alliance, Neuro Network, Pan-Asian Network, and Rainbow Lounge.

Culture and inclusion

Omnicom Media Canada describes its workplace as one built around community, impact, and opportunity. The company says it aims to create an environment where employees support one another, deliver meaningful outcomes, and receive the resources and support needed to grow at their own pace. It also states a commitment to Inclusion, Diversity, and Equity through Action, with a workforce that reflects Canada’s cultural diversity.

Additional information

This is an active hiring process, and applications are being reviewed on an ongoing basis. The employer is an equal opportunity organization and does not discriminate on the basis of race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other protected ground under applicable law. If you need an accommodation during the selection process, you may contact the employer directly.