Sr Data Scientist, Channel Growth jobs in United States
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The Trade Desk · 10 hours ago

Sr Data Scientist, Channel Growth

The Trade Desk is a leading technology company that specializes in data-driven advertising solutions. They are seeking a Senior Data Scientist to design, build, and scale data-driven solutions for forecasting, pacing, and recommendation systems, collaborating closely with engineering and product teams to deliver impactful models.

AdvertisingDigital MediaInformation TechnologyInternetMobileNative AdvertisingSocialSoftwareVideo Advertising
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

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 solution
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

Qualification

Machine LearningDeep LearningPythonStatistical AnalysisForecasting ModelsPacing AlgorithmsRecommendation SystemsDistributed ComputingA/B TestingCloud ComputingCommunication SkillsCross-functional Collaboration

Required

Proficient in open-source languages, you have a strong passion for enhancing and expanding your technical skills
Expertise includes hands-on development of predictive models and solutions utilizing open-source tools and cloud computing platforms
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)
Partnership with a cross-functional team of data scientists, engineers, and product managers to deliver the data science solution and models
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 model in always-on production system 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

Preferred

Experience in programmatic advertising and/or real-time auctions

Benefits

Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents
Retirement benefits such as a 401k plan and company match
Short and long-term disability coverage
Basic life insurance
Well-being benefits
Reimbursement for certain tuition expenses
Parental leave
Sick time of 1 hour per 30 hours worked
Vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter
Around 13 paid holidays per year
Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.

Company

The Trade Desk

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The Trade Desk is an online demand-side platform that provides buying tools for digital media buyers.

H1B Sponsorship

The Trade Desk has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (57)
2024 (49)
2023 (38)
2022 (39)
2021 (31)
2020 (15)

Funding

Current Stage
Public Company
Total Funding
$257.5M
Key Investors
Wellington ManagementBridge BankHermes Growth Partners
2021-07-08Post Ipo Equity
2016-09-21IPO
2016-05-09Debt Financing· $125M

Leadership Team

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Jeff Green
CEO
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Mitch Waters
Senior Vice President of Client Service APAC
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Company data provided by crunchbase