About the job
This role is for a Research Scientist to focus on identity modeling for our ads audience, including identity modeling, probabilistic matching, differential privacy, and anonymization.
Responsibilities
Apply modeling and machine learning techniques to business problems at the intersection of product and data science
Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation
Diagnose data and model assumptions, curating and testing appropriate models for each dataset and business objective
Identify, compute and validate the appropriate metrics to measure success
Deliver well-documented datasets, tools, and reports to key technical and business partners
Serve as a strategic thought partner to product managers and business stakeholders, directly influencing product direction and improving user experience
Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.
Effectively communicate findings and insights to both technical and non-technical audiences, driving adoption and understanding of ML-driven solutions
Qualifications
Minimum
Advanced degree (PhD or Master’s) in Computer Science, Statistics, Economics, Applied Mathematics, or related quantitative field
5+ years of experience and high proficiency in SQL, Python
5+ years of experience with large scale data
Deep knowledge of machine learning, statistical modeling, and data analysis techniques
Experience with prototyping and deploying models using large-scale production data
Strong business acumen and ability to translate technical results into business impact
Excellent communication and collaboration skills
Experience in privacy, differential privacy, anonymization and identity-related concepts
Preferred
No preferred qualifications listed.