AdTechTalent
Data Science2 months agoOn-site

The Trade Desk

Senior Applied Scientist, Channel Growth

senior data scientistforecastingpacing algorithmsrecommendation systemsmachine learningdeep learningPythonPyTorchTensorFlowSparkEMRDatabricksprogrammatic advertisingreal-time auctionsdata scienceproduction MLdistributed computing

Key details

Salary

$125K – $229K

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Bellevue, United States

Full job description

The Trade Desk is seeking a Senior Data Scientist to design, build, and scale data-driven solutions for forecasting, pacing, and recommendation systems. Responsibilities include developing forecasting models using statistical, ML, and deep learning methods; optimizing pacing algorithms; building custom scalable solutions; collaborating with product and engineering teams to deploy models; defining success metrics; conducting evaluations and A/B testing; and communicating results. Candidates must have strong experience in Python, deep learning frameworks (PyTorch, TensorFlow), distributed computing (EMR, Databricks, Spark), and programmatic advertising preferred. Required qualifications include 5+ years (BS/MS) or 3+ years (PhD) experience in data science and ML roles with end-to-end project ownership. Benefits include comprehensive healthcare, retirement plans, disability coverage, life insurance, tuition reimbursement, parental leave, sick and vacation time, paid holidays, stock-based compensation, and employee stock purchase plan. Salary range is $124,900 to $228,900 USD.

What you'll do

  • Develop forecasting models using statistical, machine learning, and deep learning approaches
  • Build and optimize pacing algorithms balancing short-term performance with long-term objectives and constraints
  • Build custom solutions tailored to unique environment where off-the-shelf models don’t scale effectively
  • Collaborate with product teams to understand business goals and translate them into actionable data science solutions
  • Work closely with engineering teams to deploy models from prototype to production ensuring smooth integration
  • Define success metrics, conduct offline evaluation and online experiments (A/B testing), and measure business impact
  • Communicate technical results and tradeoffs clearly to technical and non-technical audiences

Requirements

  • Proficient in open-source languages
  • Strong passion for enhancing and expanding technical skills
  • Hands-on development of predictive models and solutions using open-source tools and cloud computing platforms
  • Deep understanding of statistics and machine learning foundations
  • Experience building data science solutions at scale
  • Track record of owning projects end-to-end from research to production
  • Experience partnering with cross-functional teams including data scientists, engineers, and product managers
  • BS/MS with 5+ years or PhD with 3+ years experience in data science and machine learning roles
  • Experience building ML models in always-on production systems
  • Experience working with diverse technologies and data sources
  • Strong experience in forecasting, pacing systems, or recommendation systems
  • Proficient in Python
  • Hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
  • Experience running heavy workloads on distributed computing clusters (EMR or Databricks)
  • Experience leveraging Spark to work with large datasets
  • Preferred experience in programmatic advertising and/or real-time auctions

Tech stack

PythonPyTorchTensorFlowSparkEMRDatabrickscloud computingopen-source languages

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 commissions depending on roleEmployee Stock Purchase Plan with discounted stock purchase

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