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Data Scientist - Job Opportunity at Assurant

Mount Juliet, United States
Full-time
Mid-level
Posted: January 17, 2025
Hybrid
USD 86,000 - 143,700 per year

Benefits

Comprehensive benefits package typical of Fortune 500 company
Remote work flexibility through hybrid arrangement
Professional development opportunities
Global exposure through international presence

Key Responsibilities

Lead development and maintenance of AI/ML models with direct business impact
Design and implement novel algorithmic solutions for complex data challenges
Analyze large-scale datasets using advanced statistical techniques
Drive data-driven decision making through stakeholder communication
Collaborate across functions to translate business needs into technical solutions
Maintain technical leadership in ML/AI developments

Requirements

Education

Bachelor's Degree in Statistics, Economics, Applied Mathematics, Computer Science, or Information Management

Experience

4+ years

Required Skills

Data science tools (R, Python, SQL, Hadoop, Advanced Excel, Tableau, Power BI) Statistical analysis and modeling Machine learning Data visualization Business analysis Communication skills Problem-solving abilities
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Sauge AI Market Intelligence

Industry Trends

Insurance industry's accelerating adoption of AI/ML for risk assessment and automation Growing emphasis on industrial automation integration with data science Increasing demand for real-time data processing and decision-making capabilities Rising importance of explainable AI in regulated industries

Salary Evaluation

The offered salary range of $86,000-$143,700 is competitive for a mid-level data scientist role in Tennessee, with the upper range matching metropolitan market rates. The wide range suggests room for negotiation based on experience and specific expertise.

Role Significance

Based on the cross-functional nature and mentorship structure mentioned, likely part of a medium-sized data science team (5-10 members) within a larger technology organization.
Mid-level position with significant technical autonomy while maintaining senior guidance structure. Role carries substantial impact on business automation and decision-making processes.

Key Projects

Industrial automation optimization initiatives Machine learning model development for risk assessment Cross-functional data integration projects Business intelligence and reporting system development

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex technical concepts for various stakeholders Proactive approach to staying current with AI/ML developments Experience in industrial automation applications Demonstrated impact in previous analytical roles

Market Demand

High demand position with strong growth trajectory, particularly in insurance and financial services sectors. The industrial automation focus adds additional market value.

Important Skills

Critical Skills

Advanced machine learning expertise with practical application focus Industrial automation domain knowledge Strong data visualization and communication abilities Cross-functional collaboration skills

Beneficial Skills

Cloud platform experience (Azure ecosystem) Insurance industry knowledge Experience with real-time data processing Understanding of regulatory compliance in data applications

Unique Aspects

Focus on industrial automation sets this role apart from traditional financial services data science positions
Hybrid work model in growing tech region
Fortune 500 resources with startup-like innovation emphasis
Global exposure potential through company's international presence

Career Growth

2-4 years typical progression to senior role, with management track options available within 4-6 years

Potential Next Roles

Senior Data Scientist Lead Data Scientist Machine Learning Engineer Data Science Manager Technical Product Manager

Company Overview

Assurant

Fortune 500 company specializing in insurance and consumer services with significant global presence

Leading position in specialized insurance and protection services, with strong technological investment focus
Strategic location in Tennessee tech corridor with hybrid work model indicating investment in modern work practices
Enterprise environment with emphasis on innovation and practical application of advanced technologies
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