Senior Analyst, Data Science

Omnicom Media; Toronto; Hybrid; CAD 65,000 - 95,000; Full time

Benefits offered by this job

Flexible hybrid work model

Generous paid time off

Professional development opportunities

Global agency network

Diversity and Inclusion initiatives

Job summary

Omnicom Media Canada is hiring a Senior Analyst, Data Science to lead quantitative modeling and analyses for a portfolio of marketing clients. You will own data validation, model development, and interpretation, while mentoring junior team members.

The ideal candidate has 1–2+ years of analytics experience, strong regression/time-series skills, and proficient Python or R for data manipulation and visualization. Hybrid work and cross‑functional collaboration are available.

Qualifications

• 1-2+ years of hands-on analytics experience.
• Strong foundation in statistical modeling, especially regression and time-series methods.
• Clear written and verbal communication with stakeholders or clients.

Responsibilities

• Lead the development and delivery of quantitative models and analyses across marketing clients (e.g., Marketing Mix Models) using regression-based techniques.
• Own data validation, cleaning, and QA for client data; establish best practices for model-ready inputs.
• Run and interpret analyses including adstock transformations and decomposition outputs; flag data/methodology issues.
• Prepare model documentation and outputs (Excel workbooks, charts, summary tables) for internal and client reviews.
• Collaborate with senior members and clients on methodology decisions and model refinement.
• Mentor junior analysts, review code, and provide methodological feedback.
• Drive internal tooling and process improvements to scale the team.

Skills

Analytics

Python/R

Statistics

Data Visualization

Communication

Education

Bachelor's or Master's in Statistics/Mathematics/Economics/Data Science

Tools

Python

R

Excel

Job description

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.

What You Will Do

• 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.

What We Are Looking For

• 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.
• Competitive compensation and benefits.

Why Join Omnicom Media Canada

At Omnicom Media Canada, careers are designed for growth. We’ve purposefully crafted a transformative talent experience built with accountability in action - focused on community, impact, and opportunity.

Community - We build a culture where our people show up for each other, grow together, and win together.

Impact - Your work creates real outcomes — for clients, for the business, and for the industry.

Opportunity - We give you the runway, resources, and support to keep rising — on your terms and at your pace.

Omnicom Media Canada is dedicated to cultivating a workplace that not only respects but actively champions Inclusion, Diversity, and Equity through Action (IDEA). This commitment ensures our workforce reflects the rich cultural mosaic of Canada, shaping how our teams, leadership, and client relationships thrive.

This is an active vacancy. We are currently hiring for this role and reviewing applications on an ongoing basis.

Omnicom Media is providing the compensation range that the company is willing to pay for this position based on the successful applicant’s education, experience, knowledge, skills and abilities.

In addition, Omnicom Media provides rewarding offerings such as:

• Generous paid time off with a minimum of 37 paid days off including vacation and monthly wellness days. We also have four‑day long weekends, half‑day summer Fridays, and meeting‑free Friday afternoons year‑round.
• A flexible hybrid work model that works for you.
• A focus on personal development with formal training opportunities, including mental health training and inclusion education for everyone.
• A chance to be part of and grow within a global network of agencies.
• The opportunity to contribute to our company culture by joining one of our many community‑based employee groups, such as Black Employee Network, Girls on Fire, Hispanic or Latinx Alliance, Neuro Network, Pan‑Asian Network, and Rainbow Lounge.

Omnicom is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to [e-mail]