Senior Data Scientist-Measurement

Overview

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 value the unique experiences and perspectives that each person brings to The Trade Desk and 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? Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally.

Data scientists at The Trade Desk work closely with engineering throughout the lifecycle of the product, from ideation to production and monitoring. Our data scientists are end-to-end owners, participating in all aspects of designing, researching, building, and delivering data-focused products for our clients and traders.

This role is responsible for research and application of state-of-the-art modeling techniques to solve measurement problems centered around Advertising Technology. You will collect and explore data, research methodologies, design experiments to validate model results, and implement research in production. The role will work across methods of measurement in AdTech, with a focus on moving internal and external clients toward more sophisticated measurement solutions that demonstrate the causal impact of ads served by the platform.

The work will help build out and make causal lift more accessible on our platform.

The main directions include:

• Explore, evaluate and deploy models to solve the problem of whether TTD ads drive incremental lift.
• Define and build methods to optimize toward causal effects.
• Explore data from various sources within TTD and prototype ETL pipelines to collect them for model training.
• Design and analyze experiments (e.g., A/B tests) to validate model results.
• Work with cross-functional stakeholders to develop the best implementation and testing plan.
• Communicate learnings from data and insights from models to influence product decisions.

• Proficient in open-source languages with hands-on development of statistical and machine learning models using open-source tools and cloud computing platforms; strong foundation in statistics and ML.
• Hands-on experience building models at scale and owning a project end-to-end, partnering with cross-functional teams to deliver analytics or models.
• Strong data intuition and the ability to innovate in causal inference and/or machine learning, evidenced by achievements such as first-author publications or project successes.

We do not expect you to know every technology we use when you start at The Trade Desk. What matters most is the ability to learn quickly and solve complex problems using the best tools for the job. Successful candidates typically have experience such as:

• BS/MS with 4+ years or PhD with 2+ years in a data science or ML role bringing products from ideation to production.
• Experience in causal inference and lift measurement.
• Experience designing experiments in a production environment.
• Proficient in Python.
• Experience in programmatic advertising is a plus.
• Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks) and using Spark with large datasets.
• The ability to communicate with diverse stakeholders, making architecture recommendations, ensuring effective execution, and measuring quality of outcomes.

Note:

The base compensation range is provided where required by state law. The actual amount may differ based on factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible for stock-based compensation grants and other compensation depending on the role, such as sales-based incentives and commissions. Benefits include comprehensive healthcare for employees and dependents, retirement benefits…