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Added 5 mins ago
AC
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- Internship
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Adelphi Group

Senior Analyst, Data Science

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Experience: 1-2+ years of professional experience in analytics, data science, or a related quantitative role.
Posting language: English
Posted: Sep 10, 2026

Original job description

Agency:

Omnicom Media

Job Function:

Data and Analytics

Job Subfunction:

Data Science and Analytics

Job Description:

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.

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.

Expected Salary: $70,000 - $80,000

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 canadatalent@mbww.com

Salary Range: $70,000 - $80,000

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 us - 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/

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More about this job

Responsibilities

The Senior Analyst will lead the development of quantitative models, including Marketing Mix Models, to provide actionable insights for marketing clients. They will also oversee data quality processes, mentor junior team members, and collaborate with stakeholders on methodology and results interpretation.

Requirements

Candidates must have 1-2+ years of professional experience in analytics or data science with a strong foundation in statistical modeling and regression analysis. Proficiency in Python or R is required, along with a Bachelor's or Master's degree in a quantitative field.

Skills

Data science
Predictive modeling
Regression analysis
Statistical modeling
Python
R
Marketing mix modeling
Time-series analysis
Data validation
Data cleaning
Quantitative analysis
Mentorship
Communication
Methodology refinement
Visualization

Benefits

Paid time off
Vacation
Wellness days
Flexible hybrid work model
Formal training opportunities
Mental health training
Inclusion education
Employee community groups

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Marketing Mix Models
Regression Analysis
Time-series
Python
R
Pandas
Statsmodels
Scikit-learn
Predictive Modeling
Statistical Analysis
Data Validation
QA
Adstock
Bayesian Methods
Hierarchical Modeling
Media Analytics
Quantitative Research
Data Visualization
Multicollinearity
Heteroscedasticity
Variable Selection
Marketing Data
Consumer Datasets
Mentorship
Stakeholder Management
Process Improvement
Analytics
Media Spend
Decomposition

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