Enable job alerts via email!
A global technology company in Toronto is seeking a Data Scientist. The role involves designing and applying advanced modeling techniques to analyze advertising effectiveness. The ideal candidate has a background in statistics and machine learning, with experience in causal inference. Competitive salary range is $127,900—$194,000 USD. The company supports workplace inclusivity and offers stock-based compensation.
The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.
Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small-medium-sized workplaces globally.
Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to production and monitoring. Our data scientists are end-to-end owners. You will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients and traders.
This particular role is responsible for research and application of state-of-the-art modeling techniques to solve measurement problems centered around Advertising Technology. This role will collect and explore data, research into methodologies, design experiments to validate model results, and implement research work in production. This role will be able to work across all methods of measurement in AdTech, but will have a particular focus on helping to move both internal and external clients towards more sophisticated measurement solutions that prove the causal impact of ads served by the TTD platform. The work of this role will help to build out and make causal lift more accessible and attainable on our platform.
We do not expect you to know every technology we use when you start at TTD. What we care most about is that you can learn quickly and solve complex problems using the best tools for the job. However, we find that the most successful candidates typically come in with something like the following experience:
Ontario residents only: In accordance with Ontario law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions.
At The Trade Desk, base salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $127,900—$194,000 USD.
As an Equal Opportunity Employer, The Trade Desk is committed to making our job application process accessible to everyone and to providing reasonable accommodations for applicants with disabilities. If you have a disability or medical condition and require an accommodation for any part of the application or hiring process, please contact us at accommodations@thetradedesk.com. You can also contact us using the same email address if you have a disability and need assistance to access our Company website. When contacting us, please provide your contact information and specify the nature of your accessibility issue.