Data Scientist, Path

Staff 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 Staff 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.

• Drive data science execution plan based on business needs to measure supply path efficiency and quality, which includes metrics and methodology development, experimental design and statistical testing, etc.
• Define success criteria for causal measurement and ensure that model insights translate into tangible business improvements.
• Design and automate diagnosis process on supply path trouble shooting and performance analysis.
• 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.

• Possess a keen sense of data intuition and the ability to innovate in the field of metric development, performance diagnosis, causal inference, and/or statistical modeling. Experienced in cross‑functional collaboration and data science execution plan design.
• Proficient in coding with large data sets, 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.

• BS/MS with 8+ years of experience, or PhD with 6+ years of experience, in a data science role involving the full product lifecycle from ideation to production.
• Strong background in data analysis, 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.

Base Salary range: $137,300—$251,800 USD. Compensation packages may vary by location and experience and include the opportunity to become a shareholder through stock‑based compensation grants. The Trade Desk also offers health, dental, and vision coverage with premiums paid in full for employees and dependents, retirement benefits such as a 401(k) plan and company match, short and long‑term disability, life insurance, wellness benefits, tuition reimbursement, parental leave, paid sick time, vacation (up to 120 hours the first year, 160 thereafter), and about 13 paid holidays.

Employees can purchase The Trade Desk stock at a discount through the Employee Stock Purchase Plan.

CO, CA, IL, NY, WA, and Washington DC residents only:
In accordance with local law, the salary range provided is The Trade Desk’s reasonable estimate of the base compensation for this role. Actual amount may differ based on non‑discriminatory factors such as experience, knowledge, skills, abilities, and location.

As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.

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