AdTechTalent
Data Science5 days agoOn-site

The Trade Desk

Staff Applied Scientist, Inventory & Marketplace Quality

data sciencemachine learningstatistical modelingprogrammatic advertisingfraud detectionreal-time inferenceSparkdistributed trainingcausal inferenceexperimentationmentorshipleadership

Key details

Salary

$137K – $252K

Employment type

Full-time

Seniority

Lead

Years experience

5-10

Location

Bellevue, Washington, United States

Full job description

Lead Staff Data Scientist role on Marketplace Quality Engineering team responsible for data science vision, roadmap, and execution. Design and productionize ML models to detect fraud and low-quality inventory. Define metrics, experimentation, and monitoring for model performance. Collaborate with product, business, and engineering teams to deploy scalable solutions and address marketplace risks. Provide technical leadership, mentorship, and influence team standards. Requires advanced quantitative degree, 7+ years data science experience, expertise in statistical modeling, machine learning, experimentation, and large-scale data tooling such as Spark. Experience in programmatic advertising is a plus.

What you'll do

  • Own the data science vision and roadmap for Marketplace Quality Engineering (MQE) initiatives
  • 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 to show impact of quality initiatives on inventory supply, advertiser spend, and marketplace dynamics
  • Collaborate with product and business stakeholders to translate analytical insights into marketplace enforcement strategies
  • Partner with engineering to deploy scalable, performant models
  • Anticipate emerging marketplace risks and 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
  • 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

Requirements

  • 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 data science role involving product 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 ability to influence across organizational boundaries
  • 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

Tech stack

statistical modelingmachine learningSparkdistributed trainingreal-time inference systems

Benefits

Comprehensive healthcare (medical, dental, vision) with premiums paid in full for employees and dependentsRetirement benefits including 401k plan and company matchShort and long-term disability coverageBasic life insuranceWell-being benefitsReimbursement for certain tuition expensesParental leaveSick time of 1 hour per 30 hours workedVacation time up to 120 hours in first year and 160 hours thereafterAround 13 paid holidays per yearEligibility for stock-based compensation grantsVariable compensation-based incentives and commissionsEmployee Stock Purchase Plan with discounted stock purchase

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