


Data Sciences
Advertising Services • Montreal, Quebec, Canada • 51-100 Employees
Company overview
| Headquarters | 423, rue Saint-Nicolas, Suite 400, Montréal, Québec H2Y 2P4, CA |
| Phone number | +18885527183 |
| Website | |
| NAICS | 541613 |
| SIC | 737 |
| Keywords | Analytics, Digital Marketing, Research, Campaigns, Politics, Online Advertising, Data Management, Digital Platforms |
| Founded | 2014 |
| Employees | 51-100 |
| Socials |
Key Contacts at Data Sciences
Data Sciences Email Formats
Data Sciences uses 3 email formats. The most common is {first name}{last name} (e.g., johndoe@datasciences.ca), used 60.8% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}{last name} | johndoe@datasciences.ca | 60.8% |
{first initial}{last name} | jdoe@datasciences.ca | 35.3% |
{first name} | john@datasciences.ca | 3.9% |
About Data Sciences
Data Sciences is a Canadian firm of fewer than 60 people — but our results speak volumes. We bring together art and science to understand how audiences behave and predict how to best engage them. Our size keeps us agile and client-focused, while our approach is built for speed, strategy, and substance. We apply the principles of modern political campaigning to everything we do: using data to cut through the noise and deliver real-world outcomes. We thrive in high-pressure environments. Fast-moving market conditions, our experience with urgency has shaped our operations, instilling precision and a results-oriented mindset in every project — across industries.
Data Sciences revenue & valuation
| Annual revenue | $15,000,000 |
| Revenue per employee | $167,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Advertising Services industry and current estimated revenues | $48,000,000 |
| Total funding | No funding |
Employees by Management Level
Total employees: 51-100
Seniority
Employees
Employees by Department
Data Sciences has 37 employees across 10 departments.
Departments
Number of employees
Funding Data
Data Sciences has never raised funding before.
Data Sciences Tech Stack
Discover the technologies and tools that power Data Sciences's digital infrastructure, from frameworks to analytics platforms.
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Miscellaneous
Documentation
JavaScript libraries
CDN
Font scripts
JavaScript libraries
Programming languages
Blogs
Analytics
Frequently asked questions
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