Data Scientist I-Value Algorithms

September 7

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

1001 - 5000

Description

• Responsible for the development of algorithms that help power real-time bidding platform. • Participate actively in all aspects of designing, researching, building, and delivering data-focused products for clients. • Work closely with engineering throughout the lifecycle of the product, from ideation to productionalization and monitoring.

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. • 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 at least two of: R, Python, Java, or Scala. Expert at one of those. Strong SQL skills. • Experience with deep learning, TensorFlow/PyTorch preferred. • Experience with time-series, controls, dynamical systems or reinforcement learning. • Proficient in software engineering concepts like containerization, object-oriented.

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. • The ability to purchase stock at a discount through the Employee Stock Purchase Plan.