What are the responsibilities and job description for the Staff Applied Scientist, Recommender Systems position at The Trade Desk?
The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over1 trillionqueries per day, our platformoperatesatan unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authenticselvesto work every day.
Do you have a passion for solving hard problemsatscale? Are you eager to join a dynamic, globally connected team where your contributions will make a meaningful difference in building a better media ecosystem?Come and seewhy Fortune magazine consistently ranks The Trade Desk among the best small-medium-sized workplaces globally.
ABOUT THE ROLE
Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation toproductionizationand monitoring. Our data scientists are end-to-end owners. You willparticipateactively in all aspects ofdesigning, researching, building, and delivering data-focused products for our clients and traders.
Thisparticular rolefocuses on developing forecasting and recommendation models that power intelligent planning, pacing, and optimization across the platform.You will build systems that help advertisers make data-informed decisions on audienceselection, inventory allocation, and bidding strategy. Accurate forecasting and recommendation are essential for giving real-time feedback to our clients, improving campaign outcomes, and driving media efficiency at scale.
The main job directions include:
- Design and build large-scalerecommendation systemsthat guide advertisers and traders towardoptimalcampaign setups - including audienceselection, inventory mix, and bidding strategies.
- Developdata-driven recommendation modelsthatleveragehistorical campaign performance, marketplace dynamics, anduser historyto surface intelligent suggestions in real time.
- Collaborate with product and engineering teams tointegrate recommendation enginesinto planning, optimization, and reporting tools across The Trade Desk platform.
- Build andmaintainrobustfeature pipelines and ranking modelsthat improve recommendation accuracy, diversity, and interpretability.
- Partner with downstream teams to definesuccess metricsand designexperimentation frameworks(e.g., A/B testing) to evaluate model impact on client and platform performance.
- Continuously analyze campaign and marketplace data toidentifyopportunities for new or improvedrecommendation products, using user feedback and model diagnostics to drive iteration.
- Ensure recommendations areprivacy-safe, scalable, and explainable, aligning with TTD's principles of transparency and trust.
WHO WE ARE LOOKING FOR
- Strong foundationin machine learning and deep learning, with experience developing and deployingrecommendationor ranking systems.
- Solid understanding of forecasting and predictive modeling, especially in dynamic, large-scale environments such as ad tech, e-commerce, or digital media.
- Passion for translating model insights into practical recommendations that improve advertiser outcomes.
- Experience collaborating cross-functionally with product, engineering, and analytics to ship high-impact data products.
- Possessesa keen sense of data intuition and the ability to innovate in the field of model development.Hasa data driven mindset and usesdata to drive your model development plan.
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 or a PhD with 4 years of experience working in a DS or ML role that involves bringing products from ideation to production.
- Experience working with LLMs, prompt engineeringpreferred
- Experience in deep learning, TensorFlow/PyTorcha bonus.
- The ability to communicatewith diverse stakeholders,makingarchitecture recommendations,ensuringeffective execution, andmeasuringquality ofoutcomes.
- Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks),leveragingtechnologies like Spark to work with large datasets preferred.
- Proficientin Python. Strong spark skills are 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
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
Salary : $137,300 - $251,800