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 join the Inventory & Marketplace quality team. In this role, you will be responsible for developing metrics to measure inventory quality using a variety of signals and data sources, designing experiments and estimation methods to understand the effects of bidstream metadata on advertising KPIs, and researching algorithms/models to optimize ad spend while balancing pre-negotiated contracts and business outcomes.  

The main job directions include: 

• Use data signals from various sources within TTD as well as third party providers to define inventory and marketplace quality related metrics.
• Utilize statistical modeling and causal inference techniques to understand the effects of inventory quality and other metadata on real time bidding and advertising outcomes.
• Research control theory and systems to improve solutions optimizing advertising spend against inventory contracts.
• Design and analyze experiments (g. A/B test) to validate marketplace quality and inventory initiatives.
• Work with product team to develop product strategy and data science research plan. Develop data science prototypes. Work with engineering team to drive the model from research to test and fully productionization.
• Mentor junior data scientist in the team with tech lead responsibilities.

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 4+ years or a PhD with 2+ years of experience working in a DS role that involves bringing products from ideation to production.
• Experience in metric development, causal inference and effect estimation techniques as well as designing experiments in a production environment.
• Proficient in Python.
• Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets.
• The ability to communicate with diverse stakeholders, making architecture recommendations, ensuring effective execution, and measuring quality of outcomes.
• Experience in programmatic advertising and/or real-time auctions is a plus.
• Experience with control theory is a plus.