Senior Applied Scientist , Channel Growth

The Trade Desk; Seattle (WA); Hybrid; USD 124,900 - 228,900; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Job summary

A leading advertising technology company is seeking a Senior Data Scientist to design and scale data-driven solutions for forecasting and recommendations. This role involves developing machine learning models, collaborating with cross-functional teams, and ensuring integration into products. Ideal candidates will have extensive experience in data science, strong proficiency in Python, and familiarity with deep learning frameworks. The position offers a competitive salary range of $124,900—$228,900 and a robust benefits package.

Qualifications

• 5+ years of experience in a Data Science and ML role.
• Experience building machine learning models in production systems.
• Hands-on experience with forecasting, pacing systems, or recommendation systems.

Responsibilities

• Develop forecasting models using statistical and machine learning approaches.
• Build and optimize pacing algorithms balancing performance with objectives.
• Collaborate with product teams to translate business goals into data solutions.

Skills

Machine Learning

Deep Learning

Python

Statistical Analysis

Data Science Solutions

Education

BS/MS in Data Science or related field

PhD in Data Science or related field

Tools

PyTorch

TensorFlow

Spark

Databricks

Job description

Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to productionization 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.

We are looking for a Senior Data Scientist to design, build, and scale data driven solutions powering our forecasting, pacing, and recommendation systems for emerging channels. You will develop advanced machine learning or deep learning models that directly influence planning, allocation and performance on our platform.

The main job directions include:

• Develop forecasting models using statistical, ML and deep learning approaches.
• Build and optimize pacing algorithms that balance short‑term performance with long‑term objectives and constraints.
• Build custom solutions tailored to our unique environment, where off‑the‑shelf models often 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 into products.
• 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.

WHO WE ARE LOOKING FOR

• Proficient in open‑source languages, with a strong passion for enhancing and expanding your technical skills. Your expertise includes hands‑on development of predictive models and solutions utilizing open‑source tools and cloud‑computing platforms, and a deep understanding of the foundations of statistics and machine learning.
• Hands‑on experience building data‑science solutions at scale. A track‑record of owning a project end‑to‑end (from research to production), and partnership with a cross‑functional team of data scientists, engineers, and product managers to deliver the data‑science solution and models.

WHAT YOU BRING TO THE TABLE

We do not expect you to know every technology we use when you start at TTD. What we care most about is that you can learn quickly and solve complex problems using the best tools for the job. However, we find that the most successful candidates typically come in with something like the following experience:

• BS/MS with 5+ years or a PhD with 3+ years of experience working in a DS and ML role that involves bringing products from ideation to production.
• Experience in building ML models in always‑on production systems and working with diverse technologies and data sources.
• Strong experience in one or more of: forecasting, pacing systems, or recommendation systems.
• Proficient in Python.
• Hands‑on experience with deep learning frameworks (PyTorch, TensorFlow).
• Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets.
• Experience in programmatic advertising and/or real‑time auctions is preferred.

CO, CA, IL, NY, WA, and Washington DC residents only: In accordance with CO, CA, IL, NY, WA, and Washington DC law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role.

The base salary range for this role is $124,900—$228,900 USD.

The Trade Desk also offers a competitive benefits package.

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.

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