Senior Data Scientist, Deep Learning Forecasting

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 over 1 trillion queries 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.

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 productionalization 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.

This particular role is responsible for the research and application of forecasting models to support planning and recommendation related products across the platform. Accurate forecasting is critical for us to give timely feedback on user selection in audience, inventory, and other campaign set ups. Our forecasting model uses deep learning models to capture the massive signal uses in execution.

The main job directions include:
- Develop ML/deep learning based forecasting models to support pre-flight and mid-flight forecasting implementations, including signal collection, feature construction, model evaluation and monitoring;
- Collaborate with engineer team on signal collection pipeline, model deployment and monitoring ;
- Collaborate with downsteam team to understand their forecasting needs and design appropriate model
- Design success metrics and explore campaign reporting data. Use data to drive iterative model improvement

WHO WE ARE LOOKING FOR

• Proficient in machine learning (ML) and deep learning (DL). You have a strong passion for enhancing and expanding your technical skills. Your expertise includes hands-on development of ML and DL solutions utilizing open-source tools and cloud computing platforms. Has a deep understanding of the foundations of statistics and ML/DL models.

• Hands-on experience building deep learning models at large scale. A track record of partnership with a cross-functional team of data scientists, engineers and product managers to deliver AI-powered analytics or models.
• Familiar with forecasting domain with solid knowledge background and application experience. Knowledge in privacy safe measurement and data storage is a plus.

• Possessing a keen sense of data intuition and the ability to innovate in the field of model development. Have a data driven mindset and use data 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 in deep learning, TensorFlow/PyTorch preferred.
• The ability to communicate with diverse stakeholders, making architecture recommendations, ensuring effective execution, and measuring quality of outcomes.
• Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets preferred.
• Proficient in Python. Strong spark skills are 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—$240,000 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 [email protected]

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