Data Scientist II-Audience Team

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally-connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small-medium-sized workplaces globally.

ABOUT THE ROLE

Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to productionalization 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.

This role would be responsible for developing models that recommend better bidding opportunities, custom audience creation etc. by leveraging embedding solutions and other advanced techniques with the goal of helping thousands of customers run effective advertising campaigns. Many of our problems involve getting deep learning algorithms to train and inference at scale. 

We are a team built on a foundation of generosity and openness, and we expect our data scientists to help make others better and raise the bar for those around them. As a Data Scientist, you will contribute meaningfully through leading others.

WHO WE ARE LOOKING FOR

You have a hands-on experience in making significant, self-directed, and end-to-end contributions to complex, multi-layered, impactful machine learning products at scale

Proficient in open-source languages, you have a strong passion for enhancing and expanding your technical skills. Your expertise includes hands-on development of AI foundation models and solutions utilizing open-source tools and cloud computing platforms. Has a deep understanding of the foundations of statistics and machine learning models.

You understanding business requirements and delivers swift, high-quality deliverables, encompassing model development, optimization, and dashboard for ongoing model metrics monitoring.

You think beyond just the task at hand to deeply understand the 'why' behind what you are doing and anticipate problems that may be several degrees removed from obvious requirements.

You make your team better by proactively advocating for and driving improvements not just to what the team produces, but also the ways in which the team works.

You have a strong sense of data intuition. At our scale, many off-the-shelf modeling techniques simply don't work. You are able to work from first principles to develop solutions and adapt them to a unique environment.

You are a broadly skilled data scientist with deep expertise working with embedded models in always-on production systems and working across a variety of technologies and data sources.

You have a product-focused mindset. You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world’s largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making.

You are able to communicate effectively across both technical and non-technical audiences.

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 or ML role that involves bringing products from ideation to production.

Experience in deep learning, TensorFlow/PyTorch preferred.

The ability to communicate with diverse stakeholders, making architecture recommendations, ensuring effective execution, and measuring quality of outcomes.

Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets is preferred

Proficient in at least two of: R, Python, Scala, Java, or Expert at one of those. Strong SQL skills.

Proficient in software engineering concepts like containerization and vers