Data Scientist II-Distributed Computing

Job Description

• Responsible for developing algorithms that run in our real-time bidding platform • Deep learning algorithms training and inference at scale • End-to-end ownership of designing, researching, building, and delivering data-focused products for clients • Leading others as a Staff Data Scientist • Working on ideation to productionalization and monitoring • Collaborating with engineering team throughout the product lifecycle

Qualifications

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