Senior Deep Learning Forecasting Scientist

Thetradedesk; Bellevue (WA); On-site; USD 137,300 - 251,800; Full time

Benefits offered by this job

Comprehensive healthcare

401k plan with company match

Paid vacation time

Paid holidays

Employee Stock Purchase Plan

Job summary

The Trade Desk in Bellevue, Washington is seeking experienced Applied Scientists to work on innovative data-focused products. You will work closely with engineering to develop ML and deep learning models supporting advertising campaign forecasting. Ideal candidates have strong experience in data science, collaborating across teams, and a commitment to solving complex challenges.

We offer competitive benefits including comprehensive healthcare and generous vacation time, along with a base salary range between $137,300 and $251,800 USD, depending on experience.

Qualifications

• Hands-on experience building deep learning models at large scale.
• Experience in working alongside data scientists and engineers.
• Solid background in forecasting and data storage.
• Ability to innovate in model development.

Responsibilities

• Develop ML/deep learning models to support various forecasting needs.
• Collaborate on signal collection and model training.
• Understand and design models based on downstream forecasting needs.
• Drive iterative model improvement using data.

Skills

Machine learning (ML)

Deep learning (DL)

Python

Statistical foundations

Data intuition

Collaboration

Education

BS/MS with 8+ years experience or PhD with 6+ years

Tools

PyTorch

TensorFlow

Spark

Databricks

Job description

The Trade Desk in Bellevue, Washington is seeking experienced Applied Scientists to work on innovative data-focused products. You will work closely with engineering to develop ML and deep learning models supporting advertising campaign forecasting. Ideal candidates have strong experience in data science, collaborating across teams, and a commitment to solving complex challenges.

We offer competitive benefits including comprehensive healthcare and generous vacation time, along with a base salary range between $137,300 and $251,800 USD, depending on experience.