Principal Data Scientist (US)

Ladders; United States; Remote; USD 149,000 - 223,000; Full time

Benefits offered by this job

Growth

Teamwork

Mentorship

Development

Job summary

Ladders is seeking a Principal Data Scientist for the US market. The role focuses on driving advanced analytics, building ML models for pricing and decision-making, and translating complex datasets into actionable insights for key stakeholders.

Remote work available to US-based candidates with strong communication to executive leadership. You will collaborate with business partners, influence pricing strategies, and lead analytics projects end-to-end while staying current with industry trends in

Qualifications

• Undergraduate or advanced technical degree in math, physics, engineering, finance, or computer science; graduate degree preferred.
• 10+ years of relevant experience, with higher education and research tenure considered.
• Extensive knowledge of data science concepts, principles, and practices.
• Proficiency in programming languages such as Python for data extraction and analysis.
• Strong understanding of statistical models and advanced analytics techniques.

Responsibilities

• Collect and analyze large-scale data to derive actionable insights.
• Develop and implement machine learning models for decision-making and pricing optimization.
• Collaborate with business partners to refine strategies and meet P&L expectations.
• Lead analytical projects autonomously and present findings to executive stakeholders.
• Stay updated on industry trends and optimization methodologies in auto finance.

Skills

Data science concepts

Python

Statistics

Machine learning

Pricing optimization

Education

Bachelor's or higher in math/physics/engineering/finance/CS

Job description

Responsibilities

• Collect and analyze large-scale data to derive actionable insights
• Develop and implement machine learning models for decision-making and pricing optimization
• Collaborate with business partners to refine strategies and meet P&L expectations
• Lead analytical projects autonomously and present findings to executive stakeholders
• Stay updated on industry trends and optimization methodologies in auto finance

Qualifications

• Undergraduate or advanced technical degree in math, physics, engineering, finance, or computer science; graduate degree preferred
• 10+ years of relevant experience, with higher education and research tenure considered
• Extensive knowledge of data science concepts, principles, and practices
• Proficiency in programming languages such as Python for data extraction and analysis
• Strong understanding of statistical models and advanced analytics techniques

Benefits

• Opportunities for professional growth and skill development
• Supportive work environment promoting teamwork and innovation
• Access to mentorship and knowledge transfer within the team
• Participation in personal performance management and development activities

For our client, we are seeking a Principal Data Scientist (US) to join the team of a leader in the Finance & Insurance space.

This role will drive advanced analytics and machine learning initiatives that support data-driven decision‑making across the organization. You will work closely with business partners to translate complex datasets into actionable insights, optimize pricing strategies, and help inform P&L outcomes. In addition, you will lead analytical projects independently, communicate findings to executive stakeholders, and contribute to the continuous evolution of the company’s analytics capabilities.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $148,720 – $223,080 annually

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.