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
Our team is responsible for developing algorithms that run in our real time bidding platform to help thousands of customers run effective advertising campaigns. Our problems span everything from training massive deep learning models at scale, to coming up with novel ways to improve advertising campaign performance, to generating performance insights for our end users. Some of the challenges include sparse and/or noisy labels and data, large output space (thousands of labels), millisecond latency requirements, high QPS requirements (thousands or millions per second), and unreliable ground truth.
Data scientists on our team work closely with engineering throughout the lifecycle of the product, from ideation and testing 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 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 track record of contributing to complex, multi-layered, impactful machine learning projects, and are able to work in a self-directed fashion.
- You think beyond just the task at hand to understand the 'why' behind what you are doing and anticipate problems before they crop up.
- You have a strong intuition for data and patterns. 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 experience working on embedded models in always-on production systems and working across a variety of technologies and data sources.
- Experience mentoring more junior team members and open to eventually leading a small team
- 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 able to identify and evaluate 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.
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 or ML role involving bringing products from ideation to deployment.
- Experience in AdTech / MarTech / digital advertising a plus but not required.
- Hands on experience training deep learning models in an industry environment, PyTorch preferred.
- Extensive experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets.
- Expert in Python. Familiar with Spark (or PySpark). Strong SQL skills are a plus.
- Proficient in software engineering concepts; writes maintainable code and is comfortable using version control.
- Able to communicate with diverse stakeholders, making architecture
recommendations, ensuring effective execution, and measuring quality of outcomes.
CO, CA, IL, NY, WA, and Washington DC residents only: In accordance with CO, CA, IL, NY, WA, and Washington DC 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. 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 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 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 [email protected]
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.
Top Skills
The Trade Desk Denver, Colorado, USA Office
Our Denver office is in the heart of LoDo, adjacent to Union Station transit options and the 16th Street mall.
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