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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 package with dental and vision coverage
Competitive disability and life insurance programs
Employee assistance program with mental health support
Flexible paid time off policy
Family-focused parental leave program
401(k) retirement plan with employer matching
Tuition reimbursement for professional development
Hybrid work flexibility with remote options

Key Responsibilities

Design and implement advanced mathematical models for insurance and financial products
Lead technical documentation and model maintenance initiatives
Execute and oversee model risk management strategies
Provide technical mentorship to junior data scientists
Manage complex data integration and analysis projects
Develop and implement model refresh strategies
Create data visualizations and analytical presentations for stakeholders

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

Required Skills

Advanced SQL proficiency Object-oriented programming Version control systems Statistical analysis and inference Machine learning techniques Data transformation and modeling Technical documentation Communication and consensus building
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Sauge AI Market Intelligence

Industry Trends

Financial services industry is experiencing rapid digital transformation, driving increased demand for sophisticated data science capabilities Insurance sector is shifting towards personalized pricing models requiring advanced predictive analytics Integration of machine learning in risk assessment is becoming standard practice in insurance Growing emphasis on model governance and documentation due to regulatory requirements

Salary Evaluation

The offered range of USD 109,500-164,300 is competitive for a senior data scientist role in the insurance sector, aligning with industry standards while reflecting the specialized nature of financial modeling requirements

Role Significance

Typically part of a 5-10 person data science team within a larger analytics department
Mid-senior level position with significant technical autonomy and mentorship responsibilities

Key Projects

Insurance risk modeling and pricing optimization Customer segmentation and propensity modeling Regulatory compliance and model governance Automated underwriting systems Portfolio performance analysis

Success Factors

Strong foundation in statistical modeling and machine learning Ability to translate complex technical concepts for business stakeholders Experience with insurance or financial services domain Proven track record in model development and deployment Strong documentation and process management skills

Market Demand

High demand position with growing trajectory due to insurance industry's digital transformation and increasing reliance on predictive modeling

Important Skills

Critical Skills

Statistical modeling expertise for risk assessment Machine learning application in financial services SQL and data manipulation at scale Model validation and documentation

Beneficial Skills

Cloud computing platforms Actuarial knowledge Regulatory compliance understanding Visualization tools like Tableau or Power BI

Unique Aspects

Focus on financial inclusion and accessibility
Combination of insurance domain expertise with advanced analytics
Strong emphasis on model risk management
Remote-first work environment with enterprise-scale projects

Career Growth

2-4 years in role before advancement, depending on project success and leadership development

Potential Next Roles

Lead Data Scientist Data Science Manager Technical Director of Analytics Head of Model Development Chief Data Officer

Company Overview

TruStage

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

Growing presence in the insurtech space with strong emphasis on data-driven decision making
National operation with remote-first workforce structure
Progressive technology-focused environment with emphasis on work-life balance and professional development
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