Senior Data Scientist-Connected TV, Ominchannel

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 platform operates at an 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 authentic selves to work every day.

Find out more about this role by reading the information below, then apply to be considered.

Do you have a passion for solving hard problems at scale? 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 see why 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 to production and monitoring.

Our data scientists are end-to-end owners. You will participate actively in all aspects ofdesigning, researching, building, and delivering data-focused products for our clients and traders.

This particular role is responsible for research and application of state-of-art modeling techniques to solve omnichannel optimization problems centered around Connected TV.

This role will collect and explore data, research into methodologies including (but not limited to) uplift modeling and causal inference, design experiments to validate model results, and implement research work in production.

The work of this role will help address the growing demand for advanced optimization across multiple channels on our platform.

The main job directions include :

Explore, evaluate and deploy models to solve the problem of whom to target on each channel Explore data from various sources within TTD and prototype ETL pipelines to collect them for model training.

Design and analyze experiments (e.g. A / B test) to validate model results.Work with cross-functional stakeholders to come up with the best implementation and testing plan.

Communicate learnings from data and insights from models in compelling ways to influence product decisions.Mentor junior team members on the same team about technical topics.

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 and machine learning models and solutions utilizing open-source tools and cloud computing platforms.

Has a deep understanding of the foundations of statistics and machine learning models.Hands-on experience building models 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.

Possessing a keen sense of data intuition and the ability to innovate in the field of causal inference and / or machine learning, 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 or a PhD with 4+ years of experience working in a DS or ML role that involves bringing products from ideation to production.

Experience in uplift model and causal inference preferred.Experience of 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 preferred.

The ability to communicate with diverse stakeholders, making architecture recommendations, ensuring effective execution, and measuring quality of outcomes.

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#J-18808-Ljbffr