Senior Applied Scientist , Channel Growth

Senior Data Scientist – Forecasting, Pacing & Recommendation Systems We are looking for a Senior Data Scientist to design, build, and scale data‑driven solutions powering our forecasting, pacing, and recommendation systems for our emerging channels. You will develop advanced machine learning or deep learning models that directly influence planning, allocation and performance on our platform. Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to productionisation 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. Responsibilities Develop forecasting models using statistical, ML and deep learning approaches. Build and optimise 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. Qualifications BS/MS with 5+ years 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 always‑on production systems and working with diverse technologies and data sources. Strong experience in 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. Salary Base salary range: $124,900 – $228,900 USD . Equal Opportunity Employer As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Accommodations 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 The Trade Desk