Staff Data Scientist, Open Path jobs in United States
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The Trade Desk · 1 month ago

Staff Data Scientist, Open Path

The Trade Desk is a company that focuses on data-driven products for clients and traders. They are seeking a Staff Data Scientist to join the Open Path team, responsible for developing metrics for supply path efficiency and applying scalable data science modeling on large-scale datasets to enhance buying strategies.

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

Responsibilities

Drive data science execution plan based on business needs to measure supply path efficiency and quality, which includes metrics and methodology development, experimental design and statistical testing, etc
Define success criteria for causal measurement and ensure that model insights translate into tangible business improvements
Design and automate diagnosis process on supply path trouble shooting and performance analysis
Develop algorithms and models to proactively detect and interpret shifts in inventory supply paths
Collaborate with product managers and engineers integrate models into existing workflows, making outputs actionable and aligned with business objectives
Mentor junior data scientists, fostering growth, technical excellence, and knowledge-sharing across the team

Qualification

Statistical modelingCausal inferencePythonDistributed computingScalaData analysisDeep learningProgrammatic advertisingCommunication skillsCross-functional collaborationMentoring

Required

Possess a keen sense of data intuition and the ability to innovate in the field of metric development, performance diagnosis, causal inference, and/or statistical modeling
Experienced in cross functional collaboration and data science execution plan design
Proficient in coding with large data sets
Strong passion for enhancing and expanding technical skills
Expertise includes hands-on development of statistical models and solutions utilizing open-source tools and cloud computing platforms
Deep understanding of the foundations of statistics, applied mathematics, and experimentation
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 advanced analytics or models
BS/MS with 8+ years of experience, or PhD with 6+ years of experience, in a data science role involving the full product lifecycle from ideation to production
Strong background in data analysis, causal inference and experimental design in production environments
Proficiency in Python and Scala
Hands-on experience running large-scale workloads on distributed computing clusters (e.g., EMR, Databricks), leveraging Spark to process big datasets
Excellent communication skills, with the ability to engage diverse stakeholders, make architectural recommendations, drive effective execution, and measure outcomes

Preferred

Experience in programmatic advertising and/or real-time auctions is a plus
Experience with deep learning is a plus

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
SVP - Southeast Asia, India, Australia & New Zealand
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Company data provided by crunchbase