The team is responsible for driving recommendations and insights across the platform. The team has delivered key forecast metrics such as Forecasted Spend, Decision Power, and Relevance. Users not only want to view forecast metrics, they also require actionable recommendations and insights.
To achieve this goal, the team is composed of data scientists, backend engineers, and frontend engineers. The team collaborates closely with users of the platform. Day to day, the team solves problems at the intersection of data science, scalable systems, and product design.
Some of the technologies it uses are C#, Python, Databricks, SQL Server, and agentic programming.
You will have the opportunity, depending on your interests and aptitude, to work on large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, and interactive user interfaces – to name a few.
We are a global team with different backgrounds, experiences, and perspectives. To complement this team, you will welcome ideas that are different from your own, and work to build from common ground—valuing and fostering both visible and invisible dimensions of diversity.
Variety of technical opportunity is one of the best things about working at The Trade Desk as a software engineer which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate.
We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked.
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This posting was published by The Trade Desk on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.