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.

Requirements

• 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.

Benefits

• Competitive compensation package with bonus plan.
• Comprehensive healthcare coverage, including medical, dental, and vision.
• 401(k) plan with company match.
• Flexible work environment with options for fully remote, hybrid, or in-office work.
• Generous paid time off including vacation, sick leave, holidays, and volunteer time.
• Opportunities for professional development, mentorship, and working with cutting-edge AI technologies.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!