We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results

Senior Data Scientist -Inventory & Marketplace Quality

The Trade Desk
life insurance, parental leave, paid holidays, sick time, tuition reimbursement, 401(k), retirement plan
Nov 01, 2024

Data scientists at TTD work closely with engineeringthroughout the lifecycle of the product, from ideation to productionization and monitoring. Our data scientists are end-to-end owners. You will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients and traders.

We are looking for a Senior Data Scientist to join the Inventory & Marketplace quality team. In this role, you will be responsible for developing metrics to measure inventory quality using a variety of signals and data sources, designing experiments and estimation methods to understand the effects of bidstream metadata on advertising KPIs, and researching algorithms/models to optimize ad spend while balancing pre-negotiated contracts and business outcomes.

The main job directions include:



  • Use data signals from various sources within TTD as well as third party providers to define inventory and marketplace quality related metrics.
  • Utilize statistical modeling and causal inference techniques to understand the effects of inventory quality and other metadata on real time bidding and advertising outcomes.
  • Research control theory and systems to improve solutions optimizing advertising spend against inventory contracts.
  • Design and analyze experiments (g. A/B test) to validate marketplace quality and inventory initiatives.
  • Work with product team to develop product strategy and data science research plan. Develop data science prototypes. Work with engineering team to drive the model from research to test and fully productionization.
  • Mentor junior data scientist in the team with tech lead responsibilities.



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 4+ years or a PhD with 2+ years of experience working in a DS role that involves bringing products from ideation to production.
  • Experience in metric development, causal inference and effect estimation techniques as well as designing experiments in a production environment.
  • Proficient in Python.
  • Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets.
  • The ability to communicate with diverse stakeholders, making architecture recommendations, ensuring effective execution, and measuring quality of outcomes.
  • Experience in programmatic advertising and/or real-time auctions is a plus.
  • Experience with control theory is a plus.


NY, CO, CA, and WA residents only: In accordance with NY, CO, CA, and WA 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
$123,900 $227,200 USD
Applied = 0

(web-5584d87848-9vqxv)