Applied Scientist, Deep Learning Forecasting

ABOUT THE ROLE

Applied Scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to productionalization and monitoring. Our data scientists are end‑to‑end owners. You will participate actively in all aspects of designing, researching, building, and delivering data‑focused products for our clients and traders.

This role is responsible for the research and application of forecasting models to support planning and recommendation‑related products across the platform. Accurate forecasting is critical for us to give timely feedback on user selection in audience, inventory, and other campaign set ups. Our forecasting model uses deep learning models to capture the massive signal used in execution.

• Develop ML/deep learning based models end‑to‑end to support various forecasting needs throughout the advertising campaign life cycle, including working on signal collection, feature construction, model evaluation and monitoring.
• Collaborate with the engineering team on signal collection pipeline and model training, deployment and monitoring processes.
• Collaborate with downstream teams to understand their forecasting needs and design appropriate models.
• Design offline and online model success metrics and use data to drive iterative model improvement.

• Proficient in machine learning and deep learning with a strong passion for enhancing and expanding technical skills; expertise includes hands‑on development of ML and DL solutions utilizing open‑source tools and cloud computing platforms.
• Hands‑on experience building deep learning models at large scale, with a track record of partnership with cross‑functional teams of data scientists, engineers and product managers to deliver AI‑powered analytics or models.
• Familiar with forecasting domain with solid knowledge background and application experience. Knowledge in privacy‑safe measurement and data storage is a plus.
• Possessing a keen sense of data intuition and the ability to innovate in the field of model development; data‑driven mindset and use data to drive model improvement plans.

• BS/MS with 8+ years or a PhD with 6+ years of experience working in a DS or ML role that involves bringing products from ideation to production.
• Experience in deep learning, PyTorch/Tensor Flow preferred.
• Strong communication with diverse stakeholders, making architecture recommendations, ensuring effective execution, and measuring quality of outcomes.
• Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging Spark to work with large datasets preferred.
• Proficient in Python; strong Spark skills are a plus.

Base salary range: $137,300 — $251,800 USD.

The Trade Desk offers a competitive benefits package including comprehensive healthcare (medical, dental, vision), retirement benefits (401(k) with company match), disability coverage, life insurance, wellness benefits, tuition reimbursement, parental leave, sick time (1 hour per 30 hours worked), vacation time (up to 120 hours in the first year and 160 hours thereafter), 13 paid holidays, and an employee stock purchase plan.

Note:

Interns are not eligible for variable incentive awards such as stock‑based compensation, retirement plan, vacation, tuition reimbursement or parental leave.

As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at atac to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.