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- to medium-sized workplaces globally.

What you'll do: 

• Own a meaningful project. Have the opportunity to contribute to the development of new and existing data products, experiencing firsthand the day-to-day life of a professional data scientist. We believe strongly in ownership at The Trade Desk, and we are committed to you having something substantial to show for your time here that will make a positive impact for the team. 

• Receive one-on-one mentorship from an experienced Data Scientist and members of the Data Science team. 

• Collaborate with a globally-connected team where you will also interact closely with our product, trading, and engineering teams to oversee the implementation of your projects. 

Who you are: 

You might be a great fit for a Data Science internship at The Trade Desk if you 

• Are enthusiastic to learn (and teach) new technologies, machine learning techniques, and advancements in the AdTech industry. 

• Have an abundance of intellectual curiosity. 

• Have a deep understanding of statistical machine learning and optimization techniques. 

• Want to work with big data technologies such as Spark and AWS. 

• Have experience in at least one programming language (Python, R, Java, Scala, etc.) and are comfortable with SQL by the start of the internship.  

• Are able to deliver a convincing story, derived from data, to both technical and non-technical audiences. 

• Are enrolled in a Bachelor's, Master's, or PhD degree program. 

• Have an expected graduation date between Autumn 2025 and Summer 2026. 

• This position will be based out of our Shanghai office.  You will be available to work in-office at least 3 days a week (Tuesday, Wednesday, Thursday). 

What you're looking for:

• Do you want to work on a meaningful and impactful project that makes a difference?
• Are you eager to innovate?
• Do you want unique, large-scale, and highly complex challenges involving technology that is brand-new to you? 

What and how you can contribute is what’s important to us. Our consideration is not limited by the kind of education you have or the specific technologies you have experience with. We care about having good people to pitch in. Our culture is creative, energetic, and collaborative. Those aren’t perks – those are just the way we do business. 

If this sounds like you, we welcome your application and invite you to find out why The Trade Desk has been named to the Fortune Future 50 list and the list of 100 fastest growing companies as well as Yello naming The Trade Desk a Top 100 Internship Program of 2023 and why we received the Intern Growth Award!  

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.