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Added 9 mins ago
SH
CT Technologist - Senior - NE
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- Full-time
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Adelphi Group

Analyst, Data Science

Toronto, ON, Canada

Salary Range: $55,000 - $65,000 · Full-time

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Job details

Pay: Salary Range: $55,000 - $65,000
Job type: Full-time
Posting language: English
Posted: Sep 10, 2026

Original job description

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 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

Build and maintain quantitative marketing models including regression-based techniques and time-series analysis. Collaborate with team members to conduct data validation, model documentation, and prepare structured outputs for client review.

Requirements

Requires a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, or Data Science. Candidates must have a strong foundation in statistical modeling and proficiency in Python or R.

Skills

Data science
Regression analysis
Statistical modeling
Python
R
Time-series analysis
Marketing mix modeling
Data validation
Data cleaning
Predictive modeling
Visualization
Pandas
Statsmodels
Scikit-learn
Bayesian methods

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Marketing Mix Models
Regression Analysis
Time-series
Python
R
Pandas
Statsmodels
Scikit-learn
Statistical Modeling
Data Validation
QA
Adstock
Bayesian Methods
Hierarchical Modeling
Media Spend
Quantitative Analysis
Predictive Modeling
Marketing Data
Consumer Datasets

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