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 power our real-time bidding platform, with the ultimate goal of enabling thousands of customers to run effective advertising campaigns. In addition to building complex real-time bidding models, we face several challenges, including determining how to fairly quantify the impact of different models and factors within the bidding system, in order to optimize the bidding process. For every new feature or product rollout, we also would like to accurately measure its impact at both the campaign and platform levels. 

Data scientists on our team work closely with engineering throughout the lifecycle of the product, from ideation to productionalization and monitoring. 

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. As a Data Scientist, you will contribute meaningfully through influencing others. 

WHO WE ARE LOOKING FOR  

• You have a sustained track record of making significant, self-directed end-to-end contributions to complex multi-layered impactful data science 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/measurement 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 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 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. 

• 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. 

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. 

• Ability to translate complex statistical findings into actionable insights for non-technical stakeholders. Experience working with cross-functional teams, including product managers, engineers and marketers, to define measurement strategies and success metrics, ensuring effective execution, and measuring quality of outcomes. 

• Expertise in causal inference, causal machine learning techniques (e.g., difference-in-differences, propensity score matching, Uplift Modeling, Counterfactual Prediction Models). 

• Strong proficiency in A/B testing design & measurement, experience in drawing conclusions about the effectiveness of interventions/new feature rollout or business decisions. 

• Proven experience in building and deploying measurement dashboards or data visualization tools (such as Streamlit). Experience in monitoring and automating data pipelines for ongoing measurement, including integration of data sources, setting up ETL processes, and building automated reporting solutions. 

• Experience with data orchestration tool like airflow. 

• Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets preferred. 

• Proficient in at least two of: R, Python, Java, or Scala. Expert at one of those. Strong SQL skills. 

• Proficient in software engineering concepts like containerization and version control preferred. 

• Proficient in Deep Learning preferred. 

NY, CO, CA, and WA residents only: In accordance with NY, CO, CA, and WA 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

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

You can also contact us using the same email address if you have a disability and need assistance to access our Company website. 

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