Senior Data Scientist - Forecasting & Recommendations

The Trade Desk; Bellevue (NY); On-site; USD 125,000 - 229,000; Full time

Benefits offered by this job

Healthcare

401k with match

Stock options

Job summary

The Trade Desk is seeking a Senior Data Scientist to design, build, and scale data-driven solutions powering forecasting, pacing, and recommendation systems across emerging channels. You will develop advanced ML/deep learning models that influence planning, allocation, and performance on our platform.

Responsibilities include deploying models from prototype to production, collaborating with product and engineering teams, and defining success metrics through offline and online experiments.

Qualifications

• 5+ years in DS/ML role bringing products from ideation to production.
• Experience building ML models in always-on production systems and with diverse data sources.
• Strong background in forecasting, pacing, or recommendation systems.

Responsibilities

• Develop forecasting models using statistical, ML and deep learning approaches.
• Build and optimize pacing algorithms balancing short- and long-term objectives.
• Create custom DS solutions for scalable environments and collaborate with cross-functional teams.

Skills

Python

PyTorch

TensorFlow

Spark

EMR/Databricks

Forecasting

Pacing systems

Recommendation systems

Distributed computing

Open-source tools

Education

BS/MS with 5+ years or PhD with 3+ years

Tools

PyTorch

TensorFlow

Spark

EMR/Databricks

Job description

The Trade Desk is seeking a Senior Data Scientist to design, build, and scale data-driven solutions powering forecasting, pacing, and recommendation systems across emerging channels. You will develop advanced ML/deep learning models that influence planning, allocation, and performance on our platform.

Responsibilities include deploying models from prototype to production, collaborating with product and engineering teams, and defining success metrics through offline and online experiments.