Define and prioritize data collection strategies that support nutrition label generation for the Unity package ecosystem
Partner with engineering teams to implement data collection frameworks within Unity's engine and services
Balance data collection needs with privacy considerations, ensuring responsible practices that offer clear value to developers
Collaborate with multi-functional teams to align data collection efforts with broader business goals and developer needs

Requirements

Technical background with hands-on experience in software development or engineering
Strong understanding of data collection methodologies for machine learning applications
Proven track record working with large-scale data systems and privacy-compliant data practices
Ability to work effectively in multi-functional teams spanning product, engineering, and data science
Effective written and verbal communication skills to translate technical concepts for diverse audiences
Experience with data privacy regulations and frameworks (GDPR, CCPA, etc.)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data collection methodologiesmachine learning applicationslarge-scale data systemsdata privacy regulationsGDPRCCPA

Soft Skills

collaborationcommunicationteamworkprioritization