AdTechTalent
Data Science7 days agoOn-site

The Trade Desk

Staff Applied Scientist

machine learningdeep learningforecastingPyTorchTensorFlowPythonSparkdistributed computingEMRDatabricksdata sciencemodel evaluationmodel monitoring

Key details

Salary

$137K – $252K

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

San Jose, United States

Full job description

The Trade Desk is seeking a senior Applied Scientist to develop and apply forecasting models using machine learning and deep learning to support advertising campaign planning and recommendations. The role involves end-to-end ownership from model design, research, building, deployment, and monitoring. Candidates must have strong experience in ML/DL, proficiency in Python, and familiarity with distributed computing platforms like EMR or Databricks. Responsibilities include collaborating with engineering and downstream teams, working on signal collection, feature engineering, and designing model success metrics. Requirements include 8+ years (BS/MS) or 6+ years (PhD) experience in data science or ML roles, experience with PyTorch or TensorFlow, and strong communication skills. Benefits include comprehensive healthcare, retirement plans, disability coverage, tuition reimbursement, parental leave, paid time off, stock-based compensation, and more. The position is based in San Jose, California. Salary range is $137,300 to $251,800 USD.

What you'll do

  • Develop ML/deep learning based models end-to-end to support forecasting needs throughout advertising campaign lifecycle
  • Work on signal collection, feature construction, model evaluation and monitoring
  • Collaborate with engineering team on signal collection pipeline, model training, deployment, and monitoring
  • Collaborate with downstream teams to understand forecasting needs and design appropriate models
  • Design offline and online model success metrics and use data to drive iterative model improvement

Requirements

  • Proficient in machine learning (ML) and deep learning (DL)
  • Hands-on development of ML and DL solutions using open-source tools and cloud computing platforms
  • Deep understanding of statistics and ML/DL models
  • Experience building deep learning models at large scale
  • Experience collaborating with cross-functional teams of data scientists, engineers, and product managers
  • Familiarity with forecasting domain and application experience
  • Knowledge in privacy safe measurement and data storage is a plus
  • Data driven mindset with strong data intuition
  • BS/MS with 8+ years or PhD with 6+ years experience in DS or ML role involving product lifecycle from ideation to production
  • Experience with PyTorch or TensorFlow
  • Ability to communicate effectively with diverse stakeholders
  • Experience running heavy workloads on distributed computing clusters (EMR or Databricks preferred)
  • Proficient in Python; strong Spark skills are a plus

Tech stack

machine learningdeep learningPyTorchTensorFlowPythonSparkEMRDatabricks

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 benefitsTuition reimbursement for certain 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

Apply now

This MVP uses a placeholder application flow. In production, this section can connect to an external apply URL or a native application form.

Continue to applicationBrowse more jobs

Similar jobs

More roles worth a look

Related opportunities based on specialty and working model so candidates can keep momentum.