Head of Data Science, AI-Driven Audience Intelligence

Jobtome; Nutley Township (SD); Presencial; USD 263.000 - 394.000; Jornada completa

Descripción de la vacante

Spectrum Intelligence Ventures is seeking a Head of Data Science to build predictive models and the embedding platform that powers audiences, insights, and licenses. You will define the evidence standard, scope pilots with product and sales, and manage external partners to deliver production-grade models.

You will lead a team of data scientists and ML engineers, establish responsible AI standards, and work across Legal and Privacy to ensure compliant deployment.

Formación

• Proven record leading data science for data, audience, identity, or measurement products.
• Hands-on predictive modeling on consumer-level data at scale.
• Strong grounding in measurement, causality, and inference.

Responsabilidades

• Build predictive models behind the platform's audience and data products.
• Own segment definitions, coverage, refresh cadence, and accuracy.
• Lead the embedding model roadmap and evaluation standards.
• Establish MLOps, evaluation cards, and privacy protections.
• Lead the data science team and recruit top talent.
• Engage with customers and partners to translate methodology into proof points.

Conocimientos

Predictive modeling

Measurement & causal inference

Python

SQL

Distributed data processing

Deep learning / transformers

Privacy-preserving analytics

Team leadership

Educación

Bachelor's Degree in Computer Science, Statistics, Mathematics, Economics, or related field

Master's degree or PhD in Statistics, ML, Econometrics, OR/Statistics

Herramientas

Snowflake

LiveRamp

AWS

Descripción del empleo

Spectrum Intelligence Ventures is seeking a Head of Data Science to build predictive models and the embedding platform that powers audiences, insights, and licenses. You will define the evidence standard, scope pilots with product and sales, and manage external partners to deliver production-grade models.

You will lead a team of data scientists and ML engineers, establish responsible AI standards, and work across Legal and Privacy to ensure compliant deployment.