Experience:
No experience
Employment Type:
Intern/Co-op
Posted:
12/13/2019
Job Category:
Education
Data Science Intern
(This job is no longer available)
The Trade Desk | Boulder, CO
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Job Description

WHO WE ARE:

The Trade Desk is a global technology company with a mission to build a better Internet for everyone through principled, intelligent advertising. Handling over 600 billion queries per day (more than 100X the query volume of search globally), our platform operates at unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, empathy, collaboration, and ownership. By working together across typical dividing lines, we are better as a team than any of us could be apart.

ABOUT THE TEAM:

The Data Science team is responsible for transforming the data we generate off of our 600 billion queries per day into actionable intelligence using advanced modelling and optimization algorithms. Our mission is to develop new and powerful means of growing the value of our clients' campaigns across millions of web-based publishers.

AS A DATA SCIENCE INTERN AT THE TRADE DESK, YOU WILL:

Have the opportunity to contribute in the development of new and existing data products, experiencing firsthand the day-to-day life of a professional data scientist. In addition to close mentorship from members of our team, you will also interact closely with our product, trading, and engineering teams to oversee the implementation of your projects. Our hope is to see all of our interns' ideas and research contribute directly to our client facing product.

You might be a great fit for a Data Science internship at if:

* You are enthusiastic to learn (and teach) new technologies, machine learning techniques, and advancements in the AdTech industry
* You have an abundance of intellectual curiosity
* You have a deep understanding of statistical machine learning and optimization techniques as well
* You want to work with big data technologies such as Hadoop, Hive, Spark, AWS
* You have experience in at least one programming languages (Python, R, Java, Scala, etc.) and are comfortable with SQL by the start of the internship
* You are able to deliver a convincing story derived from the data sets to both a technical and non-technical audiences

OUR TEAM IS WORKING ON:

* Optimization: Ad campaigns are often combinations of lots of different types of ads -- different images/messages are shown on different web pages (or apps), to different kinds of people. We build models that determine what combination is performing the best for each advertiser. Based on that performance we automatically re-balance budget across the best performing combination.
* Prediction and forecasting: Our advertisers want to know how many people will see their ad and at what price before they finalize their strategy. For one of our ads to be shown, it likely has to participate in up to 3 different auctions. Can we predict with confidence how often we will win those auctions and at what price? How does that vary based on external market demands?
* Experimental design: How do we measure the impact of any changes we introduce to our optimization models? How do we quantify any tradeoffs those models may introduce (e.g., you pay more for each ad impression, but each impression is more valuable).
* Causal inference: How do we determine what ads are performing best? What does it mean to have a high performing campaign? (hint: clicks aren't the answer!)

WHAT WE CARE ABOUT:

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.

Does this sound like you? If so, we welcome your application and the chance to meet you!

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.

About The Trade Desk

ATD is a technology company with a trading focus. Formed at the beginning of 1988 in the aftermath of the stock market crash, the company pioneered the development and creation of systems and software for automated limit-order trading. We provide a significant amount of liquidity to the marketplace every day by making limit-order placements for institutional clients, as well as on our own behalf, through our broker-dealer subsidiaries. Our systems automate the groundwork and the routine trades, freeing traders to spend their time on more complex trades. ATD automates all parts of the trading process, not just the delivery of orders and back office functions. We have generated in excess of 4 percent of Nasdaq's total volume and 2 percent of the listed market. As the pioneer of automated limit-order trading, we developed an algorithmic price prediction functionality that spans a broad array of listed and over-the-counter stocks. On a second-by-second and sub-second basis, the pricing algorithm generates a price prediction of where a particular stock will be trading in the next 30 seconds to two minutes. Layered on top of the pricing algorithm is ATD's "advanced expert system" which emulates a human trader's actions in a similar trading scenario. ATD is connected to all of the major trading venues centers and we continuously monitor the markets in each of the trading venues for approximately 2,000 stocks. Once a trading model has reached an order decision, it then analyzes which trading venue would be the most efficient choice for execution. The order is then routed to the trading venue, posted and/or executed. The model is updated every second and the process begins all over again. Our trading process is continuous and iterative, with multiple iterations occurring every second. Each of these steps takes place in the automated environment we have created - BORG - Brokered Order Routing Gateway. BORG organizes our infrastructure into a collective system in which all components reinforce each other not just as a network, but also as a mutually interactive whole. Should one part get overloaded or go down, the other components automatically support the system. This boosts the reliability, scalability, availability, speed, capacity and overall performance of ATD's entire electronic infrastructure.