Senior Data Scientist (Research Scientist), AI Lab

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 workplaces globally.

Who we are looking for:

* Proven Expertise: You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful AI-based projects. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing.

* Technical Leadership: You will be driving technical projects and providing leadership in a groundbreaking and fast-paced environment. This includes task planning, conducting code reviews, and individual code contributions.

* Data Intuition: You have a strong sense of data intuition. At our scale, many off-the-shelf modeling techniques (open source and enterprise) simply don't work. You can work from first principles and intuition to develop solutions and adapt them to a unique environment.

* Product Focus: 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 can pitch your ideas to different audiences at all levels.

* Start-up Mentality: You are accustomed to start-up culture. You embrace risks, make smart investments, and stay agile when priorities shift.

* Collaborative Confidence: You work with confidence and without ego. Our research data scientists have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly held, defensible ideas, and

advocate for what you believe is right. You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to support your teammates.

* Diversity and Inclusion: You value, seek out, and foster diversity. We are a global team from many diverse backgrounds, with different experiences and perspectives. You welcome ideas that are different from your own and are skilled at finding and building from common ground.

* Innovative Thinking: You are a creative thinker, not bound by "the way things have always been done." What you know is less important than how well you learn and innovate. We don't need research data scientists who know all the answers; we need research data scientists who can invent the answers no one has thought of yet, to the questions yet to be asked.

What you bring to the AI Lab:

* Versatile Expertise: You are a jack-of-all-trades and master of some in the field of AI. Ideally, you have 5+ years of experience working with AI-related research and applications. You may have an advanced degree in a CS/AI/ECE field, but it's not a strict requirement. What and how you can contribute is what's most important to us.

* Innovative Application: You have a track record of turning the latest AI publications into solutions for real-world problems or ideas for novel product creation. You stay up to date with the latest advancements in AI.

* Agile Collaboration: You are comfortable working on an agile, distributed team spanning multiple time zones and continents.

* Effective Communication: You can communicate effectively across both technical and non-technical audiences.

* Technical Proficiency: You have strong programming and big data processing skills, with experience in making machine learning or data mining algorithms work on massive amounts of data.

* Specialized Knowledge: Deep expertise and extensive hands-on experience in some of the following areas is a plus:

o Recommendation Systems

o Deep Learning

o Generative AI technologies

o Large-scale data mining