Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Our team develops algorithms for our real-time bidding platform to help customers run effective advertising campaigns. Many challenges involve scaling deep learning algorithms, handling sparse/noisy data, large output spaces, and meeting strict latency and QPS requirements.

Responsibilities

• Design, research, build, and deliver data-focused products.
• Participate in all aspects of product lifecycle from ideation to productionalization and monitoring.
• Contribute meaningfully through leading others and raising the bar for the team.
• Proactively advocate for and drive improvements to team processes and deliverables.
• Develop solutions from first principles and adapt them to a unique environment.
• Work with embedded models in always-on production systems.
• Contribute to discovering client delights and advancing the industry towards openness, transparency, and evidence-based decision-making.
• Communicate effectively across technical and non-technical audiences.
• Learn and innovate new technologies and techniques.

Requirements

• Sustained track record of significant, self-directed, and end-to-end contributions to complex machine learning projects.
• Deep understanding of the 'why' behind tasks and anticipation of downstream problems.
• Broadly skilled data scientist with deep expertise in embedded models in production systems.
• Product-focused mindset with the ability to contribute to client delight.
• Confidence and lack of ego, with the ability to advocate for ideas, identify trade-offs, and support teammates.
• Value, seek out, and foster diversity.
• Creative thinker, not bound by traditional methods; ability to learn and innovate.
• Abundance of intellectual curiosity and enthusiasm to learn and teach.
• Comfortable working on an agile, distributed team spanning multiple time zones and continents.
• Ability to communicate effectively across technical and non-technical audiences.

Skills

• Deep learning
• PyTorch
• Python
• Scala
• SQL
• Spark
• EMR
• Ray
• Containerization
• Version control
• Ads modeling
• Recommendation systems modeling
• KPI optimization modeling
• Large-scale advertising platforms
• Lift modeling (conversion lift, brand lift)

Location

• Ontario

Work Type

• Full-time
• Distributed

Experience Level

• 3+ years of full-time industry experience with BS/MS
• 2+ years of full-time industry experience with PhD

Education Level

• BS/MS in Mathematics, Computer Science, Statistics, or a related quantitative field
• PhD in a related quantitative field

Salary/Compensations

• $96,840—$177,540 CAD

Benefits

• Eligibility for stock-based compensation grants
• Variable compensation-based incentives
• Commissions

About the Company

• The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising.
• Our technology helps advertisers reach the right audiences across the open internet.
• Advertising powers the content people love, supporting trusted journalism, quality entertainment, and creators.
• Our platform processes over 1 trillion queries per day, operating at an unprecedented scale.
• We have an award-winning culture based on trust, ownership, empathy, and collaboration.
• We value unique experiences and perspectives and foster inclusive spaces.
• Fortune magazine consistently ranks The Trade Desk among the best small-medium-sized workplaces globally.

Equal Opportunity

• As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
• Reach out to accommodations@thetradedesk.com to request an accommodation or discuss accessibility needs.