Data Scientist I

The Trade Desk • Ventura, CA

2d • Remote

About The Position

Our team is responsible for the development of algorithms that help power our Audience Targeting with the ultimate goal of helping thousands of customers run effective advertising campaigns. Many of our problems involve deep learning algorithms to train and develop inference at scale. Some of the challenges include the parsing of noisy labels and data, working with large output spaces (thousands of labels), and unreliable ground truth.
Data scientists on our team 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.
We are a team built on a foundation of generosity and openness, and we expect our data scientists to help make others better and raise the bar for those around them. As a Data Scientist, you will contribute meaningfully through leading others.

Requirements

• A sustained track record of making significant, self-directed end-to-end contributions to complex multi-layered impactful machine learning projects.
• Ability to think beyond just the task at hand to deeply understand the 'why' behind what you are doing and anticipate problems that may be several degrees removed from obvious requirements.
• Ability to make your team better by proactively advocating for and driving improvements not just to what the team produces, but also the ways in which the team works.
• A strong sense of data intuition. Ability to work from first principles to develop solutions and adapt them to a unique environment.
• Broadly skilled data scientist with deep expertise working with embedded models in always-on production systems and working across a variety of technologies and data sources.
• A product-focused mindset. Passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world’s largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making.
• Work with confidence and without ego. Have strongly-held, defensible ideas, and advocate for what you believe is right. Also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to support your fellow teammates.
• Value, seek out, and foster diversity. Welcome ideas that are different from your own and be skilled at finding and building from common ground.
• A creative thinker, not bound by "the way things have always been done."
• Abundance of intellectual curiosity and are enthusiastic to learn (and teach) new technologies/techniques.
• Comfortable working on an agile, distributed team spanning multiple time zones and continents.
• Able to communicate effectively across both technical and non-technical audiences.
• BS/MS with 4+ years or a PhD with 2+ 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.
• Proficient in at least two of: R, Python, Java, or Scala. Expert at one of those.
• Strong SQL skills.

Nice To Haves

• 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 software engineering concepts like containerization and version control preferred.

Responsibilities

• Participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients.
• Help make others better and raise the bar for those around them.
• Contribute meaningfully through leading others.

Benefits

• 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
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 501-1,000 employees