Applied Scientist II

The Trade Desk • Toronto, ON

5d • CA$96,840 - CA$177,540 • Remote

About The Position

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. 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. ABOUT THE ROLE Our team is responsible for developing algorithms that run in our real time bidding platform with the ultimate goal of helping thousands of customers run effective advertising campaigns. Many of our problems involve getting deep learning algorithms to train and inference at scale. Some of the challenges include sparse and/or noisy labels and data, large output space (thousands of labels), millisecond latency requirements, high QPS requirements (thousands or millions per second), and unreliable ground truth. Applied Scientists on our team work closely with engineering throughout the lifecycle of the product, from ideation to productionalization and monitoring. Our Applied 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. We are a team built on a foundation of generosity and openness, and we expect our data scientists to help make others better and raise the bar for those around them. As a Data Scientist, you will contribute meaningfully through leading others.

Requirements

• BS/MS in Mathematics, Computer Science, Statistics, or a related quantitative field with 3+ years of full-time industry experience, or a PhD with 2+ years of full-time industry experience, in a role that involves bringing products from ideation to production.
• Experience in deep learning, Pytoch preferred.
• Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets is preferred.
• Proficient in Python, Scala, and SQL; hands-on experience with Spark, EMR and Ray.
• Proficient in software engineering concepts like containerization and version control is preferred.
• Experience with ads, recommendation systems or KPI optimization modeling is a plus; large-scale advertising platforms and lift modeling (conversion lift, brand lift) experience strongly preferred.
• Sustained track record of making significant, self-directed, and end-to-end contributions to complex, multi-layered, impactful machine learning.
• Ability to think beyond just the task at hand to deeply understand the 'why' behind what you are doing and anticipate problems that may be several degrees removed from obvious requirements.
• Ability to make your team better by proactively advocating for and driving improvements not just to what the team produces, but also the ways in which the team works.
• Strong sense of data intuition. Ability to work from first principles to develop solutions and adapt them to a unique environment.
• Broadly skilled data scientist with deep expertise working with embedded models in always-on production systems and working across a variety of technologies and data sources.
• Product-focused mindset. Passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world’s largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making.
• Ability to work with confidence and without ego. Deep knowledge and exercise a high degree of leadership in their daily work. Strongly-held, defensible ideas, and advocate for what you believe is right. Adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to support your fellow teammates.
• Value, seek out, and foster diversity. Welcome ideas that are different from your own and be skilled at finding and building from common ground.
• Creative thinker, not bound by "the way things have always been done." Ability to learn and innovate.
• Abundance of intellectual curiosity and are enthusiastic to learn (and teach) new technologies / techniques.
• Comfortable working on an agile, distributed team spanning multiple time zones and continents.
• Able to communicate effectively across both technical and non-technical audiences.

Nice To Haves

• Experience in deep learning, Pytoch preferred.
• Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets is preferred.
• Proficient in software engineering concepts like containerization and version control is preferred.
• Experience with ads, recommendation systems or KPI optimization modeling is a plus; large-scale advertising platforms and lift modeling (conversion lift, brand lift) experience strongly preferred.

Responsibilities

• Develop algorithms that run in our real time bidding platform with the ultimate goal of helping thousands of customers run effective advertising campaigns.
• Get deep learning algorithms to train and inference at scale.
• Work closely with engineering throughout the lifecycle of the product, from ideation to productionalization and monitoring.
• Participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients.
• Help make others better and raise the bar for those around them.
• Contribute meaningfully through leading others.

Benefits

• Eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance.
• Other compensation depending on the role such as variable compensation-based incentives and commissions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level