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Day 16
Similar jobs usually come down between day 8 and day 60.
From 11,862 similar postings that came down. Coming down is not always a hire.
Toronto, Ontario, Canada
Live, first seen by us 16 days agoThis 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.
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.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
We are looking for a Senior Analyst, Data Science to join our growing data science practice.
Build and maintain Marketing Mix Models using regression and time-series data
Own data validation, cleaning, and QA for client datasets
Run and interpret adstock, diminishing returns, and decomposition analyses
Prepare and review model documentation and client-ready Excel outputs
Mentor and review the work of junior analysts
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.
Lead the build and maintenance of data science models such as Marketing Mix Models using regression-based techniques
Own data validation, cleaning, and QA processes for client-provided datasets
Run and interpret statistical analyses including adstock transformations, diminishing returns curves, and decomposition outputs
Prepare and review model documentation and structured outputs (Excel workbooks, charts, summary tables)
Mentor and review the work of junior analysts, providing feedback on code, methodology, and QA.
1-2+ years of professional experience in analytics, data science, or a related quantitative role.
Prior experience with marketing data (media spend, impressions, GRPs) or consumer datasets.
Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
Experience mentoring or reviewing the work of junior analysts.
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.
- 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).
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 16
Similar jobs usually come down between day 8 and day 60.
From 11,862 similar postings that came down. Coming down is not always a hire.
140 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Agency:
Omnicom Media
Job Function:
Data and Analytics
Job Subfunction:
Data Science and AnalyticsJob 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
What We Are Looking For
Nice to Have
What We Offer
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/
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
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.
Toronto, Ontario, Canada
• 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.
• 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