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The Trade Desk

The Trade Desk

Ventura, California, USA

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OtherTech

Staff Data Scientist

United States

$243.8k – $365.6k /yr

Posted on Jan 30, 2026

Full TimeSeniorOn SiteData Science

Job Description

Job Title: Staff Data Scientist Location: 100% remote *Telecommuting role to be performed anywhere in the U.S. Job Duties: 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.

Salary: $243,800 - $365,600 /year Job Requirements: 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.

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 actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location.

All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include 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, and 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.

Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leaveAt the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range.

The base salary range for this role is $243,800—$365,600 USD 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 accommodations@​thetradedesk.​com 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.  When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions.

Any information you share will be handled confidentially and will not impact our hiring decisions.

About The Trade Desk

A media buying platform built for what matters.

Trusted journalism. Premium streaming TV. One-click commerce. All these amazing online experiences thrive on an open internet. And they’re all fueled by relevant advertising.

That’s why we created an independent media buying platform designed for the open internet. One that helps marketers reach more customers in more places, with more transparency and choice at every stage — from planning to pricing to performance.

Job overview

Compensation

$243.8k – $365.6k /yr

Employment type

Full Time

Experience level

Senior

Work type

On Site

Department

Data Science

Posted

on Jan 30, 2026

About

Job Link

job-boards.greenhouse.io

Financials

Type

public

Annual Revenue

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Market Cap

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