Data Scientist II

Posted 24 Days Ago
Irvine, CA, USA
In-Office
130K-171K Annually
Mid level
AdTech
We help brands and their agencies deliver more relevant ads to audiences everywhere, across devices.
The Role
Design and optimize graph-based algorithms, develop scalable data science solutions, analyze large datasets, conduct A/B testing, and automate workflows while collaborating with cross-functional teams.
Summary Generated by Built In

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. 
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.

Job Title: Data Scientist II

Location: 400 Spectrum Center Drive, Suite 550, Irvine, CA 92618

*Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk, Inc. office in Irvine, CA.

Job Duties: Design, implement, and optimize scalable graph-based algorithms to enhance internal graph products. Optimize large-scale algorithmic systems operating on terabyte-scale datasets using distributed computing frameworks. Develop custom data science solutions from first principles, leveraging advanced techniques in probability and statistics, machine learning, and graph mining, especially in contexts where off-the-shelf models are ineffective. Analyze large datasets and build statistical models at scale on top of terabytes worth of data to generate actionable insights for products improvement. Conduct scientific analysis to validate third-party data and evaluate whether they are useful for products. Conduct best-subset selection using information theory-based approaches to enhance targeting and performance strategies. Automate and monitor workflows using orchestration tools (e.g. Apache Airflow) to ensure reliable data pipeline execution. Own the end-to-end data products lifecycle, including identifying research questions, exploratory data analysis, methods design, development, testing, deployment, maintenance, and presenting results to relevant stakeholders. Collaborate with cross-functional teams to ensure technical design, implementation, and delivery of data science projects align with business objectives and product roadmap.

Salary: $130,270 - $170,600 / year

Job Requirements: Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Data Science, or related field and four (4) years of experience in the job offered or related role. Must have four (4) years of experience with: one or more programming languages; SQL; cloud computing platforms; version control systems and CI/CD pipelines; data analysis and visualization for large-scale datasets; building and evaluating machine learning models; applying probability and statistical methods to build and evaluate data-driven products; and Agile. Must have two (2) years of experience with: developing scalable graph algorithms; large-scale graph mining; distributed computing frameworks including Spark; and workflow orchestration tools.


#LI-DNI

In accordance with various US state laws, 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, 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 variable compensation-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
$130,270$170,600 USD

As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.

Please reach out to us at accommodations@​thetradedesk.​com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. 

When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.

Skills Required

  • Bachelor's degree in Computer Science, Data Science, or related field
  • four years of experience in the job offered or related role
  • four years of experience with programming languages, SQL, cloud computing platforms, version control systems, CI/CD pipelines, and data analysis
  • four years of experience in building and evaluating machine learning models and applying statistical methods
  • two years of experience in developing scalable graph algorithms
  • two years of experience in distributed computing frameworks including Spark
  • two years of experience with workflow orchestration tools

The Trade Desk Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Trade Desk and has not been reviewed or approved by The Trade Desk.

  • Affordable Benefits Healthcare premiums are often paid in full for employees and dependents, reducing out-of-pocket costs. Coverage includes medical, dental, and vision alongside mental health and wellness support.
  • Equity Value & Accessibility Packages commonly include new-hire stock grants, a generous Employee Stock Purchase Plan, and equity refreshers tied to performance. Feedback suggests equity meaningfully boosts total compensation alongside base pay and bonuses.
  • Leave & Time Off Breadth Generous PTO, paid holidays, paid sick time, and sabbaticals are available. Paid parental leave and extensive family-planning support broaden time-off and caregiving coverage.

The Trade Desk Insights

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The Company
HQ: Ventura, CA
2,700 Employees
Year Founded: 2009

What We Do

The Trade Desk is changing the way global brands and their agencies advertise to audiences around the world. Our mission is to transform media for the benefit of humankind. Our media-buying platform helps brands deliver a more insightful and relevant ad experience for consumers — and sets a new standard for reach, accuracy, and transparency.

Why Work With Us

With up to 11 million queries per second and SLAs in the milliseconds, we’re tackling data and software challenges at massive scale. While we’re growing fast, investing in our value based company culture remains one of our top priorities. If you’re talented, driven, and hungry to bring something entirely new and wildly ambitious, let's talk.

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