Data Scientist II

The Trade Desk•Irvine, CA

20h•Hybrid

About The Position

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.

Requirements

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

Responsibilities

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.

Benefits

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
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