The Trade Desk · 1 day ago
Staff Data Scientist
The Trade Desk is a technology company that specializes in data-driven advertising solutions. They are seeking a Staff Data Scientist to design and develop systems for organizing and analyzing data, as well as to present statistical findings to various audiences.
AdvertisingDigital MediaInformation TechnologyInternetMobileNative AdvertisingSocialSoftwareVideo Advertising
Responsibilities
Design and develop systems to organize and streamline the use of data in the organization
Identify relationships and trends in data, as well as any factors that could affect research results
Analyze and interpret statistical data to identify significant differences in relationships among sources of information
Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering
Develop software applications or programming to use for statistical modeling and graphic analysis
Develop and test experimental designs, sampling techniques, and analytical methods
Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighing raw data
Process large amounts of data for statistical modeling and graphic analysis, using computers
Determine whether statistical methods are appropriate, based on user needs or research questions of interest
Report results of statistical analyses, including information in the form of graphs, charts, and tables
Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses
Evaluate sources of information to determine any limitations, in terms of reliability or usability
Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data
Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students
Qualification
Required
Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Statistics, Biochemistry or related field and ten (10) years of experience in the job offered or related role OR Doctorate degree (U.S. or foreign equivalent) in Computer Science, Statistics, Biochemistry or related field and five (5) years of experience in the job offered or related role
Must have five (5) years of experience with: high performance computing, such as running data pipelines and/or numerical optimization on on-prem or cloud-based distributed systems; Python; and scientific programming, including code-based data analysis and optimization leveraging tools like Spark, pandas, numpy, and Mathematica
Must have three (3) years of experience with SQL and multiple databases
Must have three (3) years of databricks infrastructure management experience
Must have three (3) years of cloud data management experience, including cost accounting
Must have two (2) years of end-to-end experience building machine learning pipelines
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
The Trade Desk also offers a competitive benefits package
Company
The Trade Desk
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 CompanyTotal Funding
$257.5MKey Investors
Wellington ManagementBridge BankHermes Growth Partners
2021-07-08Post Ipo Equity
2016-09-21IPO
2016-05-09Debt Financing· $125M
Recent News
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