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Senior Applied Data Machine Learning Scientist - Job Opportunity at Mercury Insurance Services, LLC

Remote, US
Full-time
Senior
Posted: March 12, 2025
Remote
USD 118,465 - 224,994 per year

Benefits

Competitive 401(k) with company match - above industry standard
Comprehensive health benefits package including medical, dental, vision
Innovative pet insurance offering - unique benefit
Flexible work-from-anywhere policy - full remote capability
Professional development and education assistance programs
Mental health and wellness resources including therapy coverage
Work-life balance focused PTO policy
Performance-based bonus structure with multiple incentive opportunities

Key Responsibilities

Lead development of sophisticated ML personalization systems with direct revenue impact
Architect and implement complex propensity models for predictive customer behavior analysis
Drive multi-objective optimization strategies balancing business KPIs and user preferences
Design scalable recommendation systems leveraging advanced ranking techniques
Spearhead research and implementation of novel behavioral modeling approaches
Direct online learning system development for adaptive user preference tracking
Establish evaluation frameworks for complex optimization scenarios
Collaborate with MLOps for production deployment of ranking models
Guide experimentation strategies for model architecture optimization

Requirements

Education

Bachelor's degree in Computer Science, Applied Statistics, or related STEM field with Machine Learning focus

Experience

5+ years of hands-on experience building ML systems

Required Skills

Expert-level implementation of ranking and propensity models Strong knowledge of optimization techniques and frameworks Experience with embedding and similarity modeling Expertise in multi-objective optimization approaches Ability to balance multiple competing KPIs Strong experimentation and evaluation skills
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Sauge AI Market Intelligence

Industry Trends

Insurance sector is experiencing rapid AI transformation, with personalization becoming a key differentiator in customer acquisition and retention Multi-objective optimization in insurance pricing and risk assessment is becoming increasingly critical as markets become more competitive The shift towards behavioral modeling in insurance represents a significant evolution from traditional actuarial approaches

Salary Evaluation

The offered salary range is competitive for a senior ML role in insurance, particularly considering the remote work option. The upper range extends well into tech industry territory, suggesting strong value placement on ML expertise.

Role Significance

Typically part of a specialized data science team of 5-8 members, likely leading 2-3 junior scientists
This is a high-impact senior position with significant autonomy in architectural decisions and strategic direction of ML initiatives

Key Projects

Enterprise-wide personalization system implementation Customer behavior prediction platform development Multi-objective optimization framework for insurance products Real-time recommendation systems for agents and customers

Success Factors

Deep expertise in both theoretical ML and practical implementation Strong business acumen to translate ML capabilities into insurance industry value Ability to balance technical sophistication with production feasibility Experience in scaling ML systems while maintaining performance

Market Demand

Very high demand position, as insurance companies are actively competing with tech firms for ML talent, particularly in personalization and behavioral modeling expertise

Important Skills

Critical Skills

Multi-objective optimization expertise critical for balancing multiple business constraints in regulated environment Production-level ML system design essential for scaling solutions across multiple states Behavioral modeling crucial for modern insurance personalization

Beneficial Skills

Knowledge of insurance industry regulations and constraints Experience with federated learning for privacy-preserving analytics Familiarity with actuarial concepts

Unique Aspects

Rare opportunity to apply advanced ML in traditional insurance context
Full remote work option unusual for insurance sector
Strong emphasis on multi-objective optimization suggests sophisticated technical environment
Balance of innovation and practical implementation in regulated industry

Career Growth

Typical progression to next level within 2-3 years, dependent on business impact and technical innovation

Potential Next Roles

Principal Machine Learning Scientist Head of AI/ML Director of Data Science Chief Data Officer

Company Overview

Mercury Insurance Services, LLC

Mercury Insurance is a leading mid-size insurance provider with a strong focus on technological innovation and customer service

Well-established regional player transitioning to a more technology-driven operation model
Strong presence in multiple states with expanding digital footprint
Progressive tech-focused culture within traditional insurance framework, emphasizing innovation and work-life balance
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