Senior Analyst, Data Science
- Toronto, ON, Canada
Full-time
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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
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
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
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/
,
Salary Range: $70,000 - $80,000
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.
- 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.
- 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.
- 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.
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.
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/
,
Salary Range: $70,000 - $80,000
More about this job
Responsibilities
Lead the development and delivery of quantitative models, specifically Marketing Mix Models, using regression-based techniques for marketing clients. Responsible for data validation, statistical analysis, and mentoring junior analysts while partnering with stakeholders on methodology and results.
Requirements
Requires 1-2+ years of professional experience in analytics or data science with a strong foundation in statistical modeling and time-series methods. Proficiency in Python or R and a degree in a quantitative field such as Statistics, Mathematics, or Economics are required.
Skills
- Predictive Modeling
- Regression Analysis
- Statistical Modeling
- Marketing Mix Modeling
- Python
- R
- Time-series Analysis
- Data Validation
- Data Cleaning
- Data Visualization
- Pandas
- Statsmodels
- Scikit-learn
- Client Interaction
- Mentorship
- QA Processes
Benefits
- Paid time off
- Vacation days
- Monthly wellness days
- Four-day long weekends
- Half-day summer Fridays
- Meeting-free Friday afternoons
- Flexible hybrid work model
- Formal training opportunities
- Mental health training
- Inclusion education
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Marketing
- Creative & Media
- Science & Research
- Consulting
Keywords
- Data Science
- Marketing Mix Models
- MMM
- Regression Analysis
- Time-series
- Adstock Transformations
- Diminishing Returns Curves
- Multicollinearity
- Heteroscedasticity
- Model Fit Diagnostics
- Variable Selection
- Python
- R
- Pandas
- Statsmodels
- Scikit-learn
- Bayesian Methods
- Hierarchical Modeling
- Media Spend
- Impressions
- GRPs
- Quantitative Analysis
- Data Cleaning
- QA
- Advertising Services
- Omnicom Media