Senior Applied Scientist , Channel Growth

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.

Data scientists at TTD work closely with engineering throughout the lifecycle of

the product, from ideation to productionization 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.

We are looking for a Senior Data Scientist to design, build, and scale data

driven solutions powering our forecasting, pacing, and recommendation systems

for our emerging channels. You will develop advanced machine learning or deep

learning models that directly influence planning, allocation and performance on

our platform.

The main job directions include:

* Develop forecasting models using statistical, ML and deep learning

approaches.

* Build and optimize pacing algorithms that balance short-term performance with

long-term objectives and constraints.

* Build custom solutions tailored to our unique environment, where

off-the-shelf models often don’t scale effectively.

* Collaborate with product teams to understand business goals and translate

them into actionable data science solution.

* Work closely with engineering teams to deploy models from prototype to

production, ensuring smooth integration into products.

* Define success metrics, conduct offline evaluation and online experiments

(A/B testing), and measure business impact.

* Communicate technical results and tradeoffs clearly to technical and

non-technical audiences.

WHO WE ARE LOOKING FOR

- Proficient in open-source languages, you have a strong passion for enhancing

and expanding your technical skills. Your expertise includes hands-on

development of predictive models and solutions utilizing open-source tools and

cloud computing platforms. Has a deep understanding of the foundations of

statistics and machine learning

- Hands-on experience building data science solutions at scale. A track record

of owning a project end-to-end (from research to production), and partnership

with a cross-functional team of data scientists, engineers, and product managers

to deliver the data science solution and models

WHAT YOU BRING TO THE TABLE

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 with 5+ years or a PhD with 3+ years of experience working in a DS and

ML role that involves bringing products from ideation to production.

- Experience in building ML model in always-on production system and working

with diverse technologies and data sources

- Strong experience in one or more of: forecasting, pacing systems, or

recommendation systems.

- Proficient in Python

- Hands-on experience with deep learning frameworks (PyTorch, TensorFlow).

- Experience running heavy workloads on a distributed computing cluster

(especially EMR or Databricks), leveraging technologies like Spark to work with

large datasets.

- Experience in programmatic advertising and/or real-time auctions is preferred

In accordance with various US state laws, 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, 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. Plus, expected benefits for this

role include comprehensive healthcare (medical, dental, and vision) with

premiums paid in full for employees and dependents, retirement benefits such as

a 401k plan and company match, short and long-term disability coverage, basic

life insurance, well-being benefits, reimbursement for certain tuition expenses,

parental leave, sick time of 1 hour per 30 hours worked, vacation time for

full-time employees up to 120 hours thru the first year and 160 hours

thereafter, and around 13 paid holidays per year. Employees can also purchase

The Trade Desk stock at a discount through The Trade Desk’s Employee Stock

Purchase Plan.

The Trade Desk also offers a competitive benefits package. Click here

[https://careers.thetradedesk.com/us/en] to learn more.

Note: Interns are not eligible for variable incentive awards such as stock-based

compensation, retirement plan, vacation, tuition reimbursement or parental leave

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

$124,900—$228,900 USD

As an Equal Opportunity Employer, The Trade Desk is committed to creating an

inclusive hiring experience where everyone has the opportunity to thrive.

Please reach out to us at accommodations@ thetradedesk. com

[[email protected]] to request an accommodation or discuss any

accessibility needs you may require to access our Company Website or navigate

any part of the hiring process.

When you contact us, please include your preferred contact details and specify

the nature of your accommodation request or questions. Any information you share

will be handled confidentially and will not impact our hiring decisions.