Senior Applied Scientist , Channel Growth

Responsibilities Develop forecasting models using statistical, ML and deep learning approaches. Build and optimize pacing algorithms that balance short‑term performance with long‑term objectives and constraints. Build custom solutions tailored to our unique environment, where off‑the‑shelf models often don’t scale effectively. Collaborate with product teams to understand business goals and translate them into actionable data science solutions. Work closely with engineering teams to deploy models from prototype to production, ensuring smooth integration into products. Define success metrics, conduct offline evaluation and online experiments (A/B testing), and measure business impact. Communicate technical results and trade‑offs clearly to technical and non‑technical audiences. Who We Are Looking For Proficient in open‑source languages, with a strong passion for enhancing and expanding technical skills. Expertise includes hands‑on development of predictive models and solutions utilizing open‑source tools and cloud computing platforms. Deep understanding of the foundations of statistics and machine learning. 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 the data science solution and models. What You Bring To The Table BS/MS with 5+ years of experience or a PhD with 3+ years of experience working in a DS and ML role that involves bringing products from ideation to production. Experience in building ML models in an always‑on production system and working with diverse technologies and data sources. Strong experience in one or more of: forecasting, pacing systems, or recommendation systems . Proficient in Python. Hands‑on experience with deep learning frameworks (PyTorch, TensorFlow). Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets. Experience in programmatic advertising and/or real‑time auctions is preferred. In accordance with various U.S. state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non‑discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become Trade Desk shareholders through eligibility for stock‑based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers a competitive benefits package. As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at View email address on click.appcast.io to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions. #J-18808-Ljbffr Thetradedesk