Remote AI Behavioral Scientist — Product Analytics

Extreme Networks, Inc

Austin (TX)

À distance

USD 110 000 - 180 000

Plein temps

Il y a 6 jours
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Avantages offerts par ce poste

Remote work option
Professional development

Résumé du poste

Extreme Networks, Inc. is seeking an AI Behavioral Scientist to evaluate AI agents and autonomous systems. You will design behavioral studies, implement analytics tracking, and develop dashboards to inform product decisions.

The role sits between Product, Engineering and UX Research to drive data-informed improvements. Ideal candidates have a strong foundation in HCI, 4+ years in analytics or related roles, and experience with A/B testing, data storytelling, and instrumenting data collection.

Qualifications

  • 4+ years in user analytics, product analytics, behavioral research, or HCI roles.
  • Strong foundation in HCI and behavioral science fundamentals.
  • Proficiency with SQL, Python/R for statistics.
  • Experience designing analytics tracking and interpreting metrics.
  • Ability to communicate insights to non-technical stakeholders.

Responsabilités

  • Design and run behavioral studies to evaluate AI agent performance.
  • Develop analytics frameworks tracking KPIs like task completion and trust.
  • Instrument data collection and build dashboards for stakeholders.
  • Translate findings into actionable product recommendations.

Connaissances

AI evaluation
Behavioral analytics
HCI fundamentals
SQL
Python/R
A/B testing
Instrumentation design
Data storytelling

Formation

Graduate degree in psychology or related field

Outils

Amplitude
Mixpanel
Looker
Tableau
Snowflake

Description du poste

Extreme Networks, Inc. is seeking an AI Behavioral Scientist to evaluate AI agents and autonomous systems. You will design behavioral studies, implement analytics tracking, and develop dashboards to inform product decisions.

The role sits between Product, Engineering and UX Research to drive data-informed improvements. Ideal candidates have a strong foundation in HCI, 4+ years in analytics or related roles, and experience with A/B testing, data storytelling, and instrumenting data collection.

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