Senior Data Scientist - Production ML & Signals (Remote)

Lead Forensics; United States; Remote; USD 140.000 - 200.000; Vollzeit

Benefits dieser Stelle

25 days’ holiday

Remote-first culture

Occasional Portsmouth office sessions

Gym on-site perks

Zusammenfassung

Lead Forensics is seeking a Senior Data Scientist to build predictive signals and production-ready AI capabilities. You will work across Data Science, Product, and Engineering to deliver data-driven features and scalable ML solutions that enhance buyer intelligence for B2B customers.

The role emphasizes experimentation, production deployment, and collaboration with cross-functional teams in a remote-first environment, with occasional Portsmouth office engagement.

Qualifikationen

• Minimum 5 years in Data Science, ML, or applied AI.
• Strong background in mathematics, statistics, CS or related field.
• Experience with large-scale, event-driven datasets and production ML solutions.
• Experience in SaaS, AdTech, MarTech, or data-intensive domains.
• Proven ability to deploy models that deliver business value.

Aufgaben

• Develop predictive models to identify patterns, opportunities, risks, and trends.
• Design ML techniques to transform noisy data into insights.
• Build time-series models for trends, anomalies, and intent signals.
• Create data products and collaborate with engineers to productionise models via APIs.
• Ensure observability, reproducibility, and monitoring of models.

Kenntnisse

Python

Statistics

ML theory

Experimentation

Communication

Cross-functional collaboration

Ausbildung

Quantitative degree (Math/CS/Stats)

Tools

SQL

Cloud platforms

MLOps tools

Jobbeschreibung

Lead Forensics is seeking a Senior Data Scientist to build predictive signals and production-ready AI capabilities. You will work across Data Science, Product, and Engineering to deliver data-driven features and scalable ML solutions that enhance buyer intelligence for B2B customers.

The role emphasizes experimentation, production deployment, and collaboration with cross-functional teams in a remote-first environment, with occasional Portsmouth office engagement.