Staff Data Scient, Open Path

The Trade Desk, Inc. • Denver, CO • 6h ago

Staff 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 Staff 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:

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.

WHO WE ARE LOOKING FOR

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, 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.

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 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.

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

$137,300---$251,800 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 ataccommodations@thetradedesk.comto 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.

We embrace inclusion and belonging in everything we do --- from celebrating the diversity of our workforce to making a positive impact on our industry.

https://careers.thetradedesk.com/inclusion-and-belonging

Apply at: http://ipc.us/t/51656097470349D8.

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