About the job
This role is for a Machine Learning Scientist (L5) to focus identity modeling for our ads member base, including identity modeling, probabilistic matching, graph analytics, differential privacy, anonymization, and identity metrics.
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, statistics, optimization, and data analysis techniques
Experience in identity graphs, privacy, differential privacy, anonymization and identity-related concepts
Strong business acumen and ability to translate technical results into business impact
Excellent communication and collaboration skills
Comfortable with ambiguity; able to thrive with minimal oversight and process
Preferred
Prior experience in ad tech, streaming, technology, or consumer-facing products is a plus.