Research Scientist 5, Ads, Identity Matching

What you'll do

• Apply machine learning and modeling techniques to solve business problems at the intersection of product and data science.
• Develop identity modeling, probabilistic matching, differential privacy, and anonymization solutions for the ads audience.
• Identify and pursue independent research projects that deliver significant business impact and influence product direction.
• Diagnose data and model assumptions to curate and test appropriate models for specific business objectives.
• Identify, compute, and validate metrics to measure the success of machine learning models and business initiatives.
• Deliver well-documented datasets, tools, and reports to technical and business partners.
• Communicate complex findings and insights to both technical and non-technical audiences to drive adoption of ML solutions.

What we're looking for

• Advanced degree (PhD or Master’s) in Computer Science, Statistics, Economics, Applied Mathematics, or a related quantitative field.
• 5+ years of experience and high proficiency in SQL and Python.
• 5+ years of experience working with large scale data.
• Deep knowledge of machine learning, statistical modeling, and data analysis techniques.
• Experience prototyping and deploying models using large-scale production data.
• Experience in privacy, differential privacy, anonymization, and identity-related concepts.
• Strong business acumen and the ability to translate technical results into business impact.
• Excellent communication and collaboration skills to work with cross-functional stakeholders.