The Trade Desk

The Trade Desk

Applied Scientist II

Toronto · Mid · Full-time

Sponsorship not specified$97k-$178kDetected 4 days ago
PythonScalaAlgorithmsSQLDatabricksMachine LearningDeep LearningSparkData ScienceStatisticsAccessibilityEHR/EMRLeadership

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odds of building a lasting career here

55Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role82
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card intent detected

THE TRADE DESK, INC. obtained a prevailing wage determination for Project Management Specialists in New York, NEW YORK on 2026-03-04. No matching green-card filing appears in our data yet. The determination expires in 13 days (2026-09-19), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 50%

Of 8 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 515 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

9 transfer filings in the last year, covering 9 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Many of our problems involve getting deep learning algorithms to train and inference at scale.
  • 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.

Responsibilities

  • To complement this team, you will welcome ideas that are different from your own and be skilled at finding and building from common ground.

Requirements

  • What we care most about is that you can learn quickly and solve complex problems using the best tools for the job.
  • hands-on experience with Spark, EMR and Ray.
  • 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:
  • 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.
  • Proficient in Python, Scala, and SQL
  • 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 variable compensation-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
  • $96,840 - $177,540 CAD
  • As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.

Nice to have

  • 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.

Compensation

  • 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.

Company info

  • You have a sustained track record of making significant,self-directed, and end-to-end contributions to complex, multi-layered, impactful machine learning
  • You 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.
  • You 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.
  • You have a strong sense of data intuition. At our scale, many off-the-shelf modeling techniques (open source and enterprise) simply don't work. You are able to work from first principles to develop solutions and adapt them to a unique environment.
  • You are a broadly skilled data scientist with deep expertise working with embedded models in always-onproduction systems and working across a variety of technologies and data sources.
  • You have a product-focused mindset. You have the 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.
  • You work with confidence and without ego. Our data scientists have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly-held, defensible ideas, and advocate for what you believe is right. You are also adept at identifying andevaluating trade-offs, willing to be proven wrong, and quick to support your fellow teammates.
  • You value, seek out, and foster diversity. We are a global team from many diverse backgrounds, with different experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be skilled at finding and building from common ground.
  • You are a creative thinker, not bound by "the way things have always been done." What you know is less important than how well you learn and innovate. We don't need data scientists who know all the answers; we need data scientists who can invent the answers no one has thought of yet, to the questions yet to be asked.
  • You have an abundance of intellectual curiosity and are enthusiastic to learn (and teach) new technologies / techniques.
  • You are you comfortable working on an agile, distributed team spanning multiple time zones and continents.
  • You are able to communicate effectively across both technical and non-technical audiences.
  • 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.
  • We are a global team from many diverse backgrounds, with different experiences and perspectives.
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This listing is sourced directly from The Trade Desk's careers page and normalized into a canonical job model.