The Trade Desk · 4 hours ago
Lead Staff Data Scientist, Inventory & Marketplace Quality
The Trade Desk is seeking a Lead Staff Data Scientist to join their Marketplace Quality Engineering team. The role involves providing technical and strategic leadership by defining the data science roadmap, developing advanced modeling systems, and collaborating with cross-functional teams to enhance marketplace integrity and performance.
AdvertisingDigital MediaInformation TechnologyInternetMobileNative AdvertisingSocialSoftwareVideo Advertising
Responsibilities
Own the data science vision and roadmap for MQE initiatives, aligning technical direction with strategic goals and industry trends
Design, build, and productionize statistical and machine learning models to detect fraud, invalid traffic, and low-quality inventory in adversarial, large-scale environments
Define and maintain metrics, experimentation procedures, and monitoring systems to ensure long-term performance
Develop analytical and explainability frameworks that provide clear visibility into how quality initiatives impact inventory supply, advertiser spend, and marketplace dynamics
Collaborate with product and business stakeholders to translate analytical insights into clear, defensible decisions and marketplace enforcement strategies
Partner closely with engineering to deploy scalable, performant models
Anticipate emerging marketplace risks and proactively develop data-driven solutions to protect marketplace integrity
Act as a staff-level technical leader, setting standards for analytical rigor, model evaluation, and scientific best practices across MQE
Mentor and develop data scientists through design reviews, technical guidance, and career coaching
Influence technical direction across teams by driving alignment, knowledge sharing, and a culture of high-quality decision-making
Qualification
Required
Advanced degree (MS or PhD) in a quantitative field such as Statistics, Computer Science, Economics, Applied Math, Operations Research, or similar
7+ years of experience working in a DS role that involves bringing products from ideation to production
Deep expertise in statistical modeling, machine learning, and large-scale data analysis
Strong understanding of experimentation, causal inference, and metric design in complex systems
Familiarity with large-scale data and ML tooling (e.g. Spark, distributed training, real-time inference systems)
Proven ability to lead ambiguous, high-impact projects end-to-end as a senior individual contributor
Excellent communication skills and the ability to influence across organizational boundaries
Preferred
Experience in programmatic advertising and/or real-time auctions is a plus
Track record of mentoring senior data scientists and shaping team-level technical direction is a plus
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
Company
The Trade Desk
The Trade Desk is an online demand-side platform that provides buying tools for digital media buyers.
H1B Sponsorship
The Trade Desk has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (57)
2024 (49)
2023 (38)
2022 (39)
2021 (31)
2020 (15)
Funding
Current Stage
Public CompanyTotal Funding
$257.5MKey Investors
Wellington ManagementBridge BankHermes Growth Partners
2021-07-08Post Ipo Equity
2016-09-21IPO
2016-05-09Debt Financing· $125M
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