Sr Data Scientist, Open Path at The Trade Desk

Bellevue, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

228900.0

Posted On

08 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Causal Inference, Experimental Design, Statistical Modeling, Python, Scala, Distributed Computing, Spark, Data Science, Machine Learning, A/B Testing, Data Intuition, Mentoring, Collaboration, Cloud Computing, Programmatic Advertising, Deep Learning

Industry

technology;Information and Internet

Description

Senior Data Scientist, Open Path At TTD, data scientists partner closely with engineering throughout the entire product lifecycle-from ideation to production and ongoing monitoring. Our data scientists are true end-to-end owners, actively involved in designing, researching, building, and delivering data-driven products that empower our clients and traders. We are seeking a Senior Data Scientist to join the Open Path team. In this role, you will focus on developing metrics to quantify supply path efficiency and applying scalable data science modeling on large-scale datasets to improve the buying strategy. The main job directions include: Develop and apply causal inference methodologies to measure the efficiency of supply paths, leveraging techniques such as double machine learning, instrumental variables, propensity scoring, and synthetic control methods. Define success criteria for causal measurement and ensure that model insights translate into tangible business improvements. Design and analyze experiments (e.g., A/B tests) to validate model performance Develop algorithms and models to proactively detect and interpret shifts in inventory supply paths. Collaborate with product managers and engineers to 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. WHO WE ARE LOOKING FOR Proficient in open-source languages, you have a strong passion for enhancing and expanding your technical skills. Your expertise includes hands-on development of statistical models and solutions utilizing open-source tools and cloud computing platforms. Has a 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), and partnership with a cross-functional team of data scientists, engineers, and product managers to deliver advanced analytics or models. Possess a keen sense of data intuition and the ability to innovate in the field of metric development, control systems, causal inference, and/or statistical modeling, as evidenced by achievements like first-author publications or project successes. 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 6+ years of experience, or PhD with 4+ years of experience, in a data science role involving the full product lifecycle from ideation to production. Strong background in 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. Experience in programmatic advertising and/or real-time auctions is a plus. Experience with deep learning is a plus. 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 leave At 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 $124,900—$228,900 USD As an Equal Opportunity Employer, The Trade Desk is committed to making our job application process accessible to everyone and to providing reasonable accommodations for applicants with disabilities. If you have a disability or medical condition and require an accommodation for any part of the application or hiring process, please contact us at accommodations@thetradedesk.com You can also contact us using the same email address if you have a disability and need assistance to access our Company website. When contacting us, please provide your contact information and specify the nature of your accessibility issue.

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Responsibilities

The Senior Data Scientist will develop metrics to quantify supply path efficiency and apply scalable data science modeling on large-scale datasets to improve buying strategies. Responsibilities include causal inference methodologies, designing experiments, and collaborating with product managers and engineers.