Data Scientist II-Distributed Computing

September 6

🏢 In-office - Toronto

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The Trade Desk

We’re committed to making digital advertising better, because the future of the open internet depends on it.

Online Advertising • Real Time Bidding • Demand Side Platforms • Behavioral Targeting • Data Management Platforms

1001 - 5000

Description

• Develop algorithms for real-time bidding platform. • Work closely with engineering throughout the product lifecycle. • Actively participate in designing, researching, building, and delivering data-focused products. • Lead others and contribute to team improvements.

Requirements

• 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 preferred. • Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets is preferred. • Proficient in at least two of: R, Python, Java, or Expert at one of those. Strong SQL skills. • Proficient in software engineering concepts like containerization and version control is preferred.

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 purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.

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