Principal Data Scientist (US)

About the role

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 focus on turning large-scale data into actionable insights that inform pricing strategy and broader business decisions. You will develop and apply advanced machine learning and statistical models, with a strong emphasis on partnering across the business to improve performance and decision-making. The position also includes presenting findings to executive stakeholders and mentoring junior data science talent in a highly collaborative environment.

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

Responsibilities

• Collect and analyze large-scale data to extract actionable insights and support business decisions
• Develop and implement machine learning models to optimize pricing strategies
• Collaborate with business partners to refine business strategies and enhance decision-making processes
• Lead analytical projects and present findings to executive stakeholders effectively
• Serve as a mentor and provide technical guidance to junior data science professionals

Qualifications

• Undergraduate degree or advanced technical degree in math, physics, engineering, finance, or computer science preferred
• 10+ years of relevant experience; advanced degrees may count toward experience
• Strong proficiency in Python for data extraction and analysis
• Expertise in machine learning models and statistical analysis applied to business problems
• In-depth knowledge of the auto finance market and industry trends

Benefits

• Opportunity for career growth and skill development within the organization
• Engagement with cutting-edge data science and analytics projects
• Collaboration with cross-functional teams providing diverse learning opportunities
• Flexible environment that supports personal performance management and team development

Pay

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