The Trade Desk
Overview
Senior Data Scientist, Open Path — The Trade Desk. At TTD, data scientists partner closely with engineering throughout the entire product lifecycle—from ideation to production and ongoing monitoring. Our data scientists are end-to-end owners who design, research, build, and deliver data-driven products that empower our clients and traders. We are seeking a Senior Data Scientist to join the Open Path team. In this role, you will focus on developing metrics to quantify supply path efficiency and applying scalable data science modeling on large-scale datasets to improve the buying strategy. The main job directions include developing metrics to measure supply path efficiency and applying scalable data science modeling on large-scale datasets to improve the buying strategy. Responsibilities
Develop and apply causal inference methodologies to measure the efficiency of supply paths, leveraging techniques such as double machine learning, instrumental variables, propensity scoring, and synthetic control methods. Define success criteria for causal measurement and ensure that model insights translate into tangible business improvements. Design and analyze experiments (e.g., A/B tests) to validate model performance. Develop algorithms and models to proactively detect and interpret shifts in inventory supply paths. Collaborate with product managers and engineers to integrate models into existing workflows, making outputs actionable and aligned with business objectives. Mentor junior data scientists, fostering growth, technical excellence, and knowledge-sharing across the team. Qualifications
Proficient in open-source languages with hands-on development of statistical models and solutions utilizing open-source tools and cloud computing platforms. Strong foundations in statistics, applied mathematics, and experimentation. Hands-on experience building data science solutions at scale. Track record of owning a project end-to-end (from research to production) and partnering with cross-functional teams to deliver advanced analytics or models. Keen data intuition with the ability to innovate in metric development, control systems, causal inference, and/or statistical modeling; evidenced by achievements such as first-author publications or project successes. BS/MS with 6+ years of experience, or PhD with 4+ years in a data science role involving the full product lifecycle from ideation to production. Strong background in causal inference and experimental design in production environments. Proficiency in Python and Scala. Hands-on experience running large-scale workloads on distributed computing clusters (e.g., EMR, Databricks) using Spark to process big datasets. Excellent communication skills to engage diverse stakeholders, make architectural recommendations, drive execution, and measure outcomes. Experience in programmatic advertising and/or real-time auctions is a plus. Experience with deep learning is a plus. What We Look For
Ability to learn quickly and solve complex problems using the best tools for the job; candidates often bring a strong track record in the listed areas. EEO and Accessibility
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 accommodations@thetradedesk.com. 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. Location
New York, NY
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Senior Data Scientist, Open Path — The Trade Desk. At TTD, data scientists partner closely with engineering throughout the entire product lifecycle—from ideation to production and ongoing monitoring. Our data scientists are end-to-end owners who design, research, build, and deliver data-driven products that empower our clients and traders. We are seeking a Senior Data Scientist to join the Open Path team. In this role, you will focus on developing metrics to quantify supply path efficiency and applying scalable data science modeling on large-scale datasets to improve the buying strategy. The main job directions include developing metrics to measure supply path efficiency and applying scalable data science modeling on large-scale datasets to improve the buying strategy. Responsibilities
Develop and apply causal inference methodologies to measure the efficiency of supply paths, leveraging techniques such as double machine learning, instrumental variables, propensity scoring, and synthetic control methods. Define success criteria for causal measurement and ensure that model insights translate into tangible business improvements. Design and analyze experiments (e.g., A/B tests) to validate model performance. Develop algorithms and models to proactively detect and interpret shifts in inventory supply paths. Collaborate with product managers and engineers to integrate models into existing workflows, making outputs actionable and aligned with business objectives. Mentor junior data scientists, fostering growth, technical excellence, and knowledge-sharing across the team. Qualifications
Proficient in open-source languages with hands-on development of statistical models and solutions utilizing open-source tools and cloud computing platforms. Strong foundations in statistics, applied mathematics, and experimentation. Hands-on experience building data science solutions at scale. Track record of owning a project end-to-end (from research to production) and partnering with cross-functional teams to deliver advanced analytics or models. Keen data intuition with the ability to innovate in metric development, control systems, causal inference, and/or statistical modeling; evidenced by achievements such as first-author publications or project successes. BS/MS with 6+ years of experience, or PhD with 4+ years in a data science role involving the full product lifecycle from ideation to production. Strong background in causal inference and experimental design in production environments. Proficiency in Python and Scala. Hands-on experience running large-scale workloads on distributed computing clusters (e.g., EMR, Databricks) using Spark to process big datasets. Excellent communication skills to engage diverse stakeholders, make architectural recommendations, drive execution, and measure outcomes. Experience in programmatic advertising and/or real-time auctions is a plus. Experience with deep learning is a plus. What We Look For
Ability to learn quickly and solve complex problems using the best tools for the job; candidates often bring a strong track record in the listed areas. EEO and Accessibility
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 accommodations@thetradedesk.com. 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. Location
New York, NY
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