Graduate Data Scientist I (2025 Start)

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- to medium-sized workplaces globally.

Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation 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.

What we do:

Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to productionalization 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.

What you'll do:

Depending on your expertise and interests, you will be placed on one of two Data Scientist teams:

Forecasting (Bellevue, WA): This particular role is responsible for the research and application of forecasting models to support planning and recommendation related products across the platform. Accurate forecasting is critical for us to give timely feedback on user selection in audience, inventory, and other campaign set ups. Our forecasting model uses deep learning models to capture the massive signal uses in execution.

The main job directions include: Develop ML/deep learning based forecasting models to support pre-flight and mid-flight forecasting implementations, including signal collection, feature construction, model evaluation and monitoring. Collaborate with engineer on signal collection pipeline, model deployment and monitoring. Collaborate with downsteam teams to understand their forecasting needs and design appropriate model - Design success metrics and explore campaign reporting data. Use data to drive iterative model improvement.

Inventory (Denver, CO): In this role, you will work with Data Scientists, Engineers, and Product Managers to develop products that give advertisers access to high quality impressions across web, Connected TV, audio, and other channels. Our efforts enhance the curation and selection process by surfacing the most relevant and performant inventory choices to our users.

Use data signals from various sources within TTD as well as third party providers to define inventory quality and scale related metrics.Design and analyze experiments (e.g. A/B test) to validate marketplace and inventory initiatives.Research control theory and systems to improve solutions optimizing advertising spend against inventory contracts.Utilize time series forecasting techniques to predict advertising spend across marketplaces and inventory contracts.Use modeling techniques to build recommendation systems that expand inventory targeting while improving relevance and other business outcomes.Work with product team to develop product strategy and data science research plan.Develop data science prototypes and work with the engineering team to test and productionize models.

Who we are looking for:

• Proficient in machine learning (ML) and deep learning (DL). You have a strong passion for enhancing and expanding your technical skills. Your expertise includes hands-on development of ML and DL solutions utilizing open-source tools and cloud computing platforms. Has a deep understanding of the foundations of statistics and ML/DL models.
• Hands-on experience building deep learning models at large scale. A track record of partnership with a cross-functional team of data scientists, engineers and product managers to deliver AI-powered analytics or models.
• Familiar with forecasting domain with solid knowledge background and application experience. Knowledge in privacy safe measurement and data storage is a plus.
• Possessing a keen sense of data intuition and the ability to innovate in the field of model development. Have a data driven mindset and use data to drive your model development plan.
• You have a deep understanding of the foundations of statistics and applied mathematics.
• You have a keen sense of data intuition and the desire to innovate in the field of metric development, control systems, and/or statistical modeling.
• You are proficient in programming for data science in one or more open-source programming language and have hands-on experience developing statistical models and solutions utilizing open-source tools and cloud computing platforms.
• You want to work on projects end-to-end (from research to production) and partner with a cross-functional team of data scientists, engineers, and product managers to deliver advanced analytics or models.

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 the following experience:

• Enrolled in a BS/MS/PhD program in data science, statistics, mathematics, computer science, or related field and expected to graduate in the Spring of 2025.

• Completed courses, research, or work experience in metric development, machine learning, statistical modeling, time series forecasting, and experiment design.

• Proficient in Python and SQL.

• The ability to communicate with diverse stakeholders, making architecture recommendations, ensuring effective execution, and measuring quality of outcomes.

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

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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.