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Data Scientist II - Job Opportunity at TruStage

Remote, United States
Full-time
Senior
Posted: January 25, 2025
Remote
USD 109,500-164,300 per year

Benefits

Comprehensive health insurance with competitive coverage levels
Dental and vision plans supporting preventive care
Disability and life insurance providing financial security
Modern parental leave policy reflecting industry standards
Flexible PTO policy promoting work-life balance
401k with employer matching for retirement planning
Tuition reimbursement supporting professional development
Employee assistance program for holistic wellbeing

Key Responsibilities

Lead development and implementation of advanced mathematical models with direct business impact
Establish and maintain technical documentation standards for enterprise-wide adoption
Execute and optimize model refresh strategies ensuring continuous accuracy
Implement model risk management frameworks following industry best practices
Provide technical mentorship and guidance to junior data scientists
Drive data-driven decision making across business units

Requirements

Education

Bachelor's or Master's Mathematics, Statistics, Computer Science, Information Technology or other related field

Experience

5+ years directly related analytical experience, 1+ years in strategic analytics role

Required Skills

Advanced SQL proficiency Object-oriented programming Version control systems Statistical analysis and inference Machine learning implementation Data transformation and modeling Technical documentation Strategic communication Consensus building
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Sauge AI Market Intelligence

Industry Trends

Financial services industry is experiencing rapid digital transformation, driving increased demand for data scientists who can bridge traditional insurance metrics with modern machine learning approaches Growing emphasis on automated underwriting and risk assessment systems requiring sophisticated predictive modeling expertise Increasing focus on real-time data processing and automated decision systems in insurance technology

Salary Evaluation

The offered salary range aligns with market expectations for senior data science roles in the insurance sector, with room for growth based on specialized insurance domain expertise

Role Significance

Typically part of a 5-8 person data science team within a larger analytics organization
Senior individual contributor role with significant technical authority and mentorship responsibilities

Key Projects

Risk modeling and automated underwriting systems Customer segmentation and lifetime value analysis Claims prediction and fraud detection models Portfolio optimization and risk assessment frameworks

Success Factors

Deep understanding of insurance industry metrics and risk modeling Ability to translate complex statistical concepts for business stakeholders Strong focus on model governance and documentation Experience with large-scale data processing and real-time prediction systems

Market Demand

High demand position reflecting the insurance industry's increasing investment in data-driven decision making and automated underwriting systems

Important Skills

Critical Skills

Advanced SQL and data modeling skills for complex insurance datasets Statistical modeling expertise for risk assessment Machine learning implementation for automated decision systems Strong documentation and communication skills for model governance

Beneficial Skills

Insurance domain knowledge Real-time processing systems experience Risk modeling expertise Regulatory compliance understanding

Unique Aspects

Strong focus on financial inclusion and accessibility
Combination of traditional insurance expertise with modern data science approaches
Emphasis on remote work culture with enterprise-level technology infrastructure

Career Growth

2-3 years in role before advancement, depending on project impact and leadership development

Potential Next Roles

Lead Data Scientist Principal Data Scientist Analytics Director Chief Data Officer

Company Overview

TruStage

TruStage is a significant player in the insurance and financial services technology sector, focusing on accessible financial solutions

Growing presence in the insurtech space with strong emphasis on technology-driven solutions
National remote-first employer with significant market presence
Technology-forward organization with emphasis on work-life balance and professional development
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