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About the Role

Join our innovation hub as a Data Scientist II, where you'll help solve high-impact business challenges using machine learning, generative AI, and advanced analytics. Develop proof-of-concept solutions, build and deploy AI models, and collaborate with stakeholders to turn complex data into actionable insights in a fast-paced, agile environment.

Responsibilities

Design and execute analytical solutions using optimization, simulation, data mining and other statistical methods with a focus on delivering actionable business value.
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.
Construct and tune 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 influence manager and leadership decision making.
Support integration of solutions within existing business processes using automation techniques.
Understand theory and application of current and emerging statistical methods and tools.
Provides support, training and/or mentorship to lower-level Data Science peers.
Perform other related duties as assigned
Develop and evaluate machine learning and generative AI solutions
Build proof-of-concept applications to address business needs
Partner with cross-functional teams to identify opportunities and deliver insights
Apply advanced analytics to support strategic decision-making
Contribute to a culture of innovation and continuous improvement

Requirements

Bachelor’s degree in quantitative field is required, Master’s is preferred
4 years of professional experience or equivalent relevant work experience preferred
Deep expertise in at least two of the following skillsets preferred; and competency in the other: Programming & Process automation, Data Visualization, Statistics & Statistical modeling, Data Extraction, Transformation, and Loading
Experience with file I/O, database integrations, and APIs to build automated analytics pipelines.
Understanding of process research and design, which may be demonstrated through use of DevOps, automation, data mining, web scraping, or object-oriented software is preferred.
Expertise on at least one visualization tool with working knowledge of others and expertise in static data visualization.
Understanding of dynamic data visualization.
Expertise using statistical inference and regression.
Solid understanding of machine learning algorithms.
Solid understanding of feature selection and extraction.
Conducts end-to-end machine learning tasks from problem synthesis to model deployment.
Expertise in writing complex SQL queries that join multiple tables/databases.
Independently explore databases/tables to identify best data sources to solve business problems.
Demonstrates ability to troubleshoot complex SQL queries with little guidance.
Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data.
Demonstrated communication skills
Experience in financial services
Leadership experience working with senior management and executive leadership
Attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously.
Demonstrated ability to coach or mentor team members
Ability to commit quickly and positively to change.
Viewed as a promoter of change management and leads proof of concept work and prototyping when necessary.

Skills

AI
Machine Learning
Advanced Analytics
Generative AI
Optimization
Simulation
Data Mining
Statistical Methods
DB2
SQL Server
Web API
Teradata
Data Visualization
SQL
Programming
Process Automation
DevOps
Web Scraping
Object-Oriented Software
Statistical Inference
Regression
Feature Selection
Feature Extraction
Model Deployment
Data Extraction
Data Transformation
Data Loading
Data Modeling

Location

Chattanooga, TN

Work Type

Campus-based
3 days per week onsite
Hybrid

Experience Level

Data Scientist II
4 years of professional experience

Education Level

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

Salary/Compensations

$73,300.00-$150,500.00

Benefits

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

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.