Principal Data Scientist (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Scientist in United States.

This role is ideal for a technical leader specializing in agentic AI and advanced marketing analytics, focused on driving actionable insights across the consumer credit lifecycle. The Principal Data Scientist will design, develop, and deploy intelligent agents and predictive models that optimize customer acquisition, marketing campaigns, and portfolio performance. This position emphasizes hands-on coding, cloud-based model deployment, and collaboration with internal stakeholders to create scalable, production-ready AI solutions. The role offers the opportunity to shape innovative analytics products, improve decision-making processes, and contribute directly to strategic business initiatives in a dynamic, fully remote environment. The ideal candidate combines deep technical expertise with strong analytical and problem-solving skills to deliver impactful results.

Accountabilities:

• Design, code, and test AI agents to support autonomous decision-making in marketing campaigns and portfolio management.
• Conduct exploratory data analysis and develop predictive models using consumer datasets and credit bureau data.
• Prototype, optimize, and deploy intelligent agent behaviors using Python, Spark, and modern agentic frameworks.
• Support production deployment and monitoring of AI models to ensure performance, reliability, and compliance.
• Collaborate with business and analytics teams to translate requirements into scalable AI solutions.
• Contribute to the development of new analytical products and services enhancing marketing effectiveness and customer engagement.
• Stay current with emerging AI and analytics technologies to continuously improve agentic and predictive capabilities.

• 7+ years of experience in consumer lending, marketing analytics, or related data science roles.
• Expert-level Python programming, including data manipulation, modeling, and cloud deployment.
• Hands-on experience developing agentic AI frameworks or autonomous agent tools.
• Proficiency with big data platforms and production-grade ML deployment in cloud environments.
• Strong knowledge of predictive modeling, data analytics, and marketing optimization techniques.
• Excellent problem-solving, collaboration, and communication skills.
• Experience translating complex business requirements into scalable AI solutions.
• Familiarity with Spark, cloud-based data platforms, and modern AI/ML frameworks.