Senior Applied Scientist , Channel Growth

Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to productionization 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. 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. The main job directions include: 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 predictive models and solutions utilizing open-source tools and cloud computing platforms. Has a 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 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 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 model in 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 We embrace inclusion and belonging in everything we do --- from celebrating the diversity of our workforce to making a positive impact on our industry.https://careers.thetradedesk.com/inclusion-and-belonging Apply at: https://ipc.us/t/F7DB1A8DEB574CC4.