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
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-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.
The main job directions include:
-Explore, evaluate and deploy models to solve the problem of “Are TTD ads
driving incremental lift?”
-Help to define and build methods to optimize towards causal effects
-Explore data from various sources within TTD and prototype ETL pipelines to
collect them for model training.
-
Design and analyze experiments (e.g. A/B test) to validate model results.
-
Work with cross-functional stakeholders to come up with the best
implementation and testing plan.
-
Communicate learnings from data and insights from models in compelling ways to
influence product decisions.
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 statistical and machine learning models and solutions
utilizing open-source tools and cloud computing platforms. Has a deep
understanding of the foundations of statistics and machine learning models.
- Hands-on experience building models 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 advanced analytics or models.
- Possessing a keen sense of data intuition and the ability to innovate in the
field of causal inference and/or machine learning, as evidenced by
achievements like first-author publications or project successes.
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 4+ years or a PhD with 2+ years of experience working in a DS or
ML role that involves bringing products from ideation to production.
- Experience in causal inference and lift measurement
- Experience of designing experiments in a production environment.
- Proficient in Python.
- Experience in programmatic advertising is a plus
- Experience running heavy workloads on a distributed computing cluster
(especially EMR or Databricks), leveraging technologies like Spark to work
with large datasets preferred.
- The ability to communicate with diverse stakeholders, making architecture
recommendations, ensuring effective execution, and measuring quality of
outcomes.
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
[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.
