The role is responsible for research and application of state-of-art modeling techniques to solve measurement problems centered around Advertising Technology
Job Summary
The role is responsible for research and application of state-of-art modeling techniques to solve measurement problems centered around Advertising Technology.
Data scientists at this company work closely with engineering throughout the lifecycle of the product, from ideation to production and monitoring as end-to-end owners.
Candidates must possess a keen sense of data intuition and the ability to innovate in the field of causal inference and/or machine learning.
Matching Summary
The role is responsible for research and application of state-of-art modeling techniques to solve measurement problems centered around Advertising Technology.
Salary
Base: $124,900 — $228,900 USD; Equity: Eligible for stock-based compensation grants based on performance; Benefits: Variable compensation-based incentives and commissions available
Skills & Requirements
Must-have
Proficient in Python programming language
Experience designing experiments in production
Hands-on experience building models at scale
Deep understanding of statistics and machine learning foundations
Nice-to-have
First-author publications in causal inference
Experience running heavy workloads on distributed clusters
Background in programmatic advertising domain
Ability to communicate insights to diverse stakeholders
Key Requirements
BS/MS with 4+ years or PhD with 2+ years of DS/ML experience
Experience in causal inference and lift measurement