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About the Role

Drive applied data science work that goes beyond modeling, mining structured and unstructured data to uncover deeper drivers, patterns, and opportunities that inform how the business supports its customers. Design and run experiments, develop analytical approaches to complex business questions, and connect findings to outcomes across BI/reporting, operations, and value stream partners. AI and LLMs are central to how the team works, both in how code is written and how signal is extracted from unstructured sources. Play a key role in advancing these capabilities across the team.

Responsibilities

Proactively partner with the business to provide actionable insights and identify growth opportunities; communicate analysis to obtain buy-in and drive decision making.
Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies.
Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework.
Build and maintain best practices for team's data science strategy; stay informed of best practices across industries and strive for innovation and efficiency.
Prioritize and lead analytics projects.
Apply domain expertise to modeling process using state-of-the-art techniques to construct predictive models to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering.
Efficiently interpret results and communicate findings and potential value to business partners to influence strategic decision making.
Lead the integration of solutions within existing business processes using automation techniques.
Understand theory and application of current and emerging statistical methods and tools.
Coach, mentor, and develop peers and/or team members.
Perform other related duties as assigned.
Actively participates in determining staffing needs of the team, including hiring and development.
Leads assigned team in the completion of requested activities and projects.
Coaches, mentors, and helps build team.
Proactively identifies and researches new approaches and skills needed for performing data science and advanced analytics.

Requirements

Bachelor’s degree in quantitative field is required, Master’s or PhD is preferred.
8 years of professional experience or equivalent relevant work experience preferred.
Deep expertise in programming & process automation, including using file I/O, database integrations, and APIs to build automated analytics pipelines.
Demonstrated experience using DevOps libraries to research and design processes including automation, data mining, web scraping, or object-oriented software is preferred.
Experience engineering solutions using cloud platforms and exposure to scaling solutions in the cloud.
Understands partnership with IT to deploy solutions.
Demonstrated expertise at bringing analytics to scale.
Demonstrates the ability to critically evaluate visualization suitability to specific scenarios.
Expertise on statistical inference and regression.
Expertise in machine learning, feature selection, and feature extraction.
Demonstrated experience in leading multiple high-impact machine learning and analysis projects end-to-end.
Expertise in writing complex SQL queries that join multiple tables/databases.
Demonstrated through independent research of data sources, troubleshooting complex SQL queries, and leading partnerships with external data providers.
Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data.
Strong communication skills.
Expertise in financial services.
Strong experience leading engagements, and working with executive leadership.
Strong project management skills; effectively and independently prioritizes and manages own projects simultaneously and provides direction on projects and prioritization to less experienced team members.
Leader within their field, both internally and externally.
Naturally effective coach and mentor, actively engages peers and team members, especially within areas of expertise.
Viewed as a leader in change management.
Maintains depth of technical understanding of third party/cloud solutions.
Entrepreneurial self-starter.
A thorough, results-oriented problem-solver.
A lifelong learner with voracious curiosity.
Deep expertise in their organization.
Demonstrates ability to conduct independent research and development of techniques that may be shared internally and externally.

Skills

Data Science
AI
LLMs
Programming
Process automation
DevOps
Data mining
Web scraping
Object-oriented software
Cloud platforms
Data Visualization
Statistics
Statistical Modeling
Machine learning
Feature selection
Feature extraction
Data Extraction
Transformation
Loading
SQL
Communication
Project management

Location

Chattanooga, TN

Work Type

Campus-based
Hybrid

Experience Level

Principal
8 years of professional experience

Education Level

Bachelor’s degree in quantitative field
Master’s or PhD preferred

Salary/Compensations

$109,100.00-$224,000.00

Benefits

Health
Vision
Dental
Short & Long-Term Disability
Performance Based Incentive Plans
Generous PTO
Paid time to volunteer
Up to 9.5% 401(k) employer contribution
Mental health support
Career advancement opportunities
Student loan repayment options
Tuition reimbursement
Flexible work environments
Healthcare benefits
Insurance benefits
401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution

About the Company

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide.
Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices.
Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Equal Opportunity

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.