Sr Data Scientist-Identity

Who we are
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 -sized workplaces globally.

What we do
The Trade Desk helps marketers unlock the potential of the open internet, on every channel and
device, across the entire customer journey. Our Identity products power intelligent ad buying on
TTD. Our Data Scientists in the Identity team are end-to-end owners of TTD's identity products.
This end-to-end ownership gives the opportunity to participate in designing, researching,
building, and delivering data-focused and high-impact products for our stakeholders.

These products are based on large-scale data that are in the order of millions of queries per
second. Working with such large-scale data requires our data scientists to be at the cutting edge
of both the data processing frameworks as well as scalable algorithms.

Our data scientists also serve as an ambassador to our business partners to champion and evolve
our identity products as the identity landscape of the open internet changes. They understand the
business requirements and current design choices; they communicate effectively with business
partners on opportunities and challenges; and they are strategic partners in creating the next
generation of identity products.

Data Scientists contribute to more than our product - they build up our team. 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.
What you'll do:

Some of the work that you will be doing to help us deliver on our mission is:
*Make significant, self-directed contributions to components of large and impactful data-
focused projects. You will think beyond just the task at hand to deeply understand the
'why' behind what you are doing.
*Utilize your strong sense of data intuition. At our scale, many off-the-shelf modeling
techniques (open source and enterprise) simply don't work. You will work from first
principles and intuition to develop solutions and adapt them to a unique environment.
*Leverage your broad familiarity with basic concepts in probability and statistics, along
with exposure to basic foundations of computer science, graph mining, and machine
learning.
*Unlock your product-focused mindset. With your passion and potential, you'll contribute
to the process of discovering what will delight our stakeholders and drive forward one of
the world's largest and most influential industries toward a vision of openness,
transparency, and evidence-based decision-making.
*Work with confidence and without ego. Our data scientists have deep knowledge and
exercise a high level of leadership in their daily work. You'll have strongly-held,
defensible ideas, and advocate for what you believe is right. You'll practice identifying
and evaluating trade-offs, willing to be proven wrong, and be committed to support your
fellow teammates.
*Think creatively, not bound by "the way things have always been done."
*Make your team better through training and mentoring those around you. You are a
guardian of and advocate for quality within your team.
*You will have the opportunity, based on your interests and background, to work on
problems related to graph mining and graph merging; algorithmic optimization on
petabytes of data; and information theoretical approaches for best-subset selection
problems.
We are a global team with different backgrounds, experiences, and perspectives. To complement
this team, you will welcome ideas that are different from your own and be well-versed in
building from common ground to value, seek out, and foster invisible and visible dimensions of
diversity.
Who you are:
Our culture is much deeper than just having fun together (though we do that well too). We take
pride in our technical team members being trust-builders, generous givers, scrappy problem
solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below,
but we believe that people who meet most of them will have a higher likelihood of succeeding in
this role:
*You have an abundance of curiosity and are eager to learn (and teach) new technologies /
techniques.
*You are 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.
*You have practical experience with big data technologies such as Spark, AWS,
Databricks,
*You are able to use a querying language such as SQL,
*You have practical experience in one or more of the following programming languages:
Scala, Python, Java, or R.
*You have practical experience in large-scale graph mining.
*You have 7+ years of experience working as a professional data scientist/analyst or in a
research role (includes PhD or post-doc experience in a quantitative discipline).
*You have a Bachelor's/Master's level degree in a quantitative discipline. Not everyone
has the same level of access to opportunities. What is most important to us is what and
how you can contribute, which is why our consideration is not limited by the level of
education you have.
*A variety of technical opportunities is one of the best things about working at The Trade
Desk as a data scientist, which is why we do not expect you to know every technology we
use when you start. What we care about is that you can learn quickly and find solutions to
complex problems using the optimum tools for the job. What you know is less important
than how well you learn and innovate. We are not seeking engineers who know all the
answers; we need engineers who can invent answers no one has thought of yet and find
answers to the questions yet to be asked.