Data Scientist II-Audience Team

San Jose, CA, United States

Our Data Scientists are end-to-end owners. You will participate actively in most aspects of designing, researching, building, and delivering data-focused products for our clients.

Our Data Science team is embedded into nearly a dozen individual, mission-focused engineering teams working across a wide spectrum of technological and scientific challenges.

You will have the opportunity, depending on your interests and background, to work on problems related to natural language processing and machine learning over hundreds of millions of web pages; graph mining and algorithmic optimization on petabytes of data; and causal inference with missing data - to name a few.

Data Scientists contribute to more than our product – they build up our team. We are a team built on a foundation of generosity and openness, and we expect our Data Scientists to help make others better and raise the bar for those around them.

Who We Are Looking For

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

You make your team better through training and mentoring those around you. You are a guardian of and advocate for quality within your team.

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 are able to work from first principles and intuition to develop solutions and adapt them to a unique environment.

You are a broadly skilled data scientist who may have experience working with embedded models in always-on production systems and may have worked across a variety of technologies and data sources.

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 work with confidence and without ego. Our 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 walk through fire to support your fellow teammates.

You value, seek out, and foster diversity. We are a global team from many diverse backgrounds, with different experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be skilled at finding and building from common ground.

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 data scientists who know all the answers; we need 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 Table

You have an abundance of intellectual curiosity and are enthusiastic to learn (and teach) new technologies / techniques.

You are you comfortable working on an agile, distributed team spanning multiple time zones and continents.

You are able to communicate effectively across both technical and non-technical audiences.

Preferred, a BS/MS with 4+ years or a PhD with 2+ years of experience working in a data-driven role. What is most important to us is what and how you can contribute though which is why our consideration is not limited by the level of education you have.

You make effective use of big data technologies such as Spark and AWS, are able to write efficient SQL, and are proficient in one or more of the following programming languages: R, Python, Java, or Scala. Variety of technical challenge is one of the best things about working at The Trade Desk as a data scientist though 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 solve complex problems using the best tools for the job.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

NY, CO, CA, and WA residents only: In accordance with NY, CO, CA, and WA law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.

The Trade Desk also offers a competitive benefits package. Click here to learn more.

Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave

At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is

$100,400—$184,000 USD

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