Staff Data Scientist
Company: The Trade Desk
Location: New York
Posted on: January 27, 2023
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Job Description:
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 600 billion queries per day (more than 100X the query
volume of search globally), our platform operates at unprecedented
scale. We have also built something even stronger and more
valuable: an award-winning culture based on trust, empathy,
collaboration, and ownership. By working together across typical
dividing lines, we are better as a team than any of us could be
apart.
Do you have a passion for solving hard problems at scale? Are you
eager to join a trust-based, globally-connected team, where your
contributions will make a meaningful difference?
Come and see why Fortune Magazine consistently ranks The Trade Desk
among best small-medium sized workplaces globally.
ABOUT THE ROLE
* 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. As a Staff Data
Scientist, you will contribute meaningfully through leading
others.
* Our Data Science team is embedded into nearly a dozen individual,
mission-focused engineering teams working across a wide spectrum of
technological and scientific challenges.
* You will have the opportunity, depending on your interests and
background, to work on problems related to natural language
processing and machine learning over hundreds of millions of web
pages; graph mining and algorithmic optimization on petabytes of
data; and causal inference with missing data - to name a few.
* 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.
WHO WE ARE LOOKING FOR
* You have a sustained track record of making significant,
self-directed, and end-to-end contributions to complex,
multi-layered, impactful machine learning projects. 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 and
intuition 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-on production 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 and evaluating trade-offs, willing to be proven wrong,
and quick to walk through fire 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.
WHAT YOU BRING TO THE TABLE
* 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.
* Preferred, a BS/MS with 12 years or a PhD with 8+ years of
experience working in a data-driven role. What is most important to
us is what and how you can contribute though which is why our
consideration is not limited by the level of education you
have.
* You make effective use of big data technologies such as Spark and
AWS, are able to write efficient SQL, and are proficient in one or
more of the following programming languages: R, Python, Java, or
Scala. Variety of technical challenge is one of the best things
about working at The Trade Desk as a data scientist though 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 solve
complex problems using the best tools for the job.
#LI-BM2
The Trade Desk does not accept unsolicited resumes from search firm
recruiters. Fees will not be paid in the event a candidate
submitted by a recruiter without an agreement in place is hired;
such resumes will be deemed the sole property of The Trade Desk.
The Trade Desk is an equal opportunity employer. All aspects of
employment will be based on merit, competence, performance, and
business needs. We do not discriminate on the basis of race, color,
religion, marital status, age, national origin, ancestry, physical
or mental disability, medical condition, pregnancy, genetic
information, gender, sexual orientation, gender identity or
expression, veteran status, or any other status protected under
federal, state, or local law.
Keywords: The Trade Desk, New York , Staff Data Scientist, Other , New York, New York
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