Who are we:
At The Trade Desk, the Data Science team is responsible for transforming our hundreds of terabytes of Real-Time Bidding (RTB) advertising auction data into actionable intelligence, using advanced modelling and optimization algorithms. Our mission is to develop new and powerful means of growing the value of our client’s campaigns across millions of web-based publishers. Our team believes in innovation that contributes to our product. In this role, you will be a key member in the development of entirely new data products and the improvement of existing ones, all while using world-class machine learning. You will interact primarily with our product, trading, and engineering teams to oversee the implementation of your data products. Your ideas and research will contribute directly to our client facing product.

What you will be doing

• Be an intellectually generous and collaborative team member
• Develop end-to-end machine learning prototypes that could scale to run in a
  production environment
• Contribute meaningful improvements to existing machine learning models
  through carefully directed research
• Maintain a focus on shipping product, understanding that oftentimes done is
  better than perfect
• Derive actionable insights from massive data sets with minimal support
• Provide input into the collection of new data sources and the refinement of
  existing ones to improve analysis and model development
• Become an expert on TTD’s client-facing platform
  
  Your skills:
  Non-Technical
• You are enthusiastic to learn (and teach) new technologies, machine learning 
  techniques, and advancements in the adtech industry
• You are comfortable working on an agile, distributed team spanning multiple
  time zones and continents
• You have worked with scrum teams to deliver end to end solutions
• You have an abundance of intellectual curiosity
• You are able to deliver a convincing story derived from the data sets to both a
  technical and non-technical audiences
• Experience in digital advertising data landscape, look-a-like modeling, 
  delivering large size models for real time applications is a plus.
  Technical Qualifications
• A relevant scientific and mathematical education (Masters and/or PhD 
  welcome) with 9+ years of professional or academic experience in a data
  driven role working with massive data sets
• You have a solid understanding of statistical machine learning, optimization 
  techniques, deep learning as well as the ability to derive actionable insights
  from massive data sets
• You have experience with big data technologies such as Spark, AWS, Hadoop, 
  Hive and are able to write efficient SQL
• You have experience in multiple programming languages (Python, R, Scala,
  Java, etc.) and are fluent at some selections of those

As an Equal Opportunity Employer, The Trade Desk is committed to making our job application process accessible to everyone and to providing reasonable accommodations for applicants with disabilities. If you have a disability or medical condition and require an accommodation for any part of the application or hiring process, please contact us at accommodations@thetradedesk.com

You can also contact us using the same email address if you have a disability and need assistance to access our Company website. 

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