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 an award-winning culture based on trust, ownership, empathy, and collaboration, 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.

About The Role

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

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 work in production. The role spans all methods of measurement in AdTech, with a focus on helping internal and external clients adopt more sophisticated measurement solutions that demonstrate the causal impact of ads served by the TTD platform. The work will help build out and make causal lift more accessible on our platform.

The main job directions include:

Explore, evaluate and deploy models to answer: “Are TTD ads driving incremental lift?”

Define and build methods to optimize towards 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 determine the best implementation and testing plan

Communicate learnings from data and insights from models to influence product decisions

Who We Are Looking For

Proficient in open-source languages with a strong passion for expanding technical skills. Experience developing statistical and machine learning models using open-source tools and cloud platforms, with a deep understanding of statistics and ML foundations.

Hands-on experience building models at scale. A track record of owning a project end-to-end (from research to production) and partnering with cross-functional teams of data scientists, engineers, and product managers to deliver advanced analytics or models.

Strong data intuition and the ability to innovate in causal inference and/or machine learning, evidenced by first-author publications or project successes.

What You Bring To The Table

We do not expect you to know every technology we use when you start at TTD. We care most about your ability to learn quickly and solve complex problems using the best tools for the job. However, the most successful candidates typically have the following experience:

BS/MS with 4+ years or a PhD with 2+ years in a DS or ML role involving 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), leveraging Spark for large datasets

Ability to communicate with diverse stakeholders, make architecture recommendations, ensure effective execution, and measure outcomes

Ontario residents only: In accordance with Ontario law, The Trade Desk's base compensation reflects the reasonable estimate for this role. The actual amount may differ based on experience, knowledge, skills, abilities, and location. All employees may be eligible for stock-based compensation grants and may receive additional compensation such as sales-based incentives and commissions. The base salary range for this role is $127,900—$194,000 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 . You can also contact us using the same email address if you need assistance to access our Company website. When contacting us, please provide your contact information and specify the nature of your accessibility issue. #J-18808-Ljbffr