Sr Data Scientist, Open Path at The Trade Desk

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Causal Inference, Experimental Design, Python, Scala, Statistical Modeling, Cloud Computing, Big Data, Distributed Computing, A/B Testing, Machine Learning, Mentoring, Collaboration, Communication, Programmatic Advertising, Deep Learning

Industry

technology;Information and Internet

Description

Senior Data Scientist, Open Path At TTD, data scientists partner closely with engineering throughout the entire product lifecycle-from ideation to production and ongoing monitoring. Our data scientists are true end-to-end owners, actively involved in designing, researching, building, and delivering 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: 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. WHO WE ARE LOOKING FOR Proficient in open-source languages, you have a strong passion for enhancing and expanding your technical skills. Your expertise includes hands-on development of statistical models and solutions utilizing open-source tools and cloud computing platforms. Has a deep understanding of the foundations of statistics, applied mathematics, and experimentation. Hands-on experience building data science solutions at scale. A track record of owning a project end-to-end (from research to production), and partnership with a cross-functional team of data scientists, engineers, and product managers to deliver advanced analytics or models. Possess a keen sense of data intuition and the ability to innovate in the field of metric development, control systems, causal inference, and/or statistical modeling, as evidenced by achievements like 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. 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 6+ years of experience, or PhD with 4+ years of experience, 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), leveraging Spark to process big datasets. Excellent communication skills, with the ability to engage diverse stakeholders, make architectural recommendations, drive effective execution, and measure outcomes. Experience in programmatic advertising and/or real-time auctions is a plus. Experience with deep learning is a plus. 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. When contacting us, please provide your contact information and specify the nature of your accessibility issue.

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Responsibilities

The Senior Data Scientist will develop metrics to quantify supply path efficiency and apply scalable data science modeling on large-scale datasets to improve buying strategies. Responsibilities include causal inference methodologies, designing experiments, and collaborating with product managers and engineers.