Data Jobs in Chattanooga, TN

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7d ago

Data Scientist II - People Analytics & Insights

Unum Group Chattanooga, TN

Chattanooga, TN

7d ago

$73k - $151k/yr Full time Analytics Artificial Intelligence Data Analysis

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Job Description

Unum Group offers a hybrid, Chattanooga based Data Scientist II role focused on People Analytics and Insights. You will apply AI and machine learning to workforce and talent analytics, partnering with HR business partners, Talent, Operations, IT, Legal, and data leaders to turn challenges into scalable data products and production ready solutions. The position carries a salary range of USD 73,300 to 150,500 per year and requires a bachelor’s degree in a quantitative field.

Benefits

Award-winning culture
Inclusion and diversity as a priority
Performance based incentive plans
Health, Vision, and Dental coverage
Short and Long-Term Disability insurance
Generous paid time off, including time to volunteer
Employer contribution up to 9.5% to 401(k)
Mental health support
Career advancement opportunities
Student loan repayment options
Tuition reimbursement
Flexible work environments
401(k) employer match up to 5% plus 4.5% additional employer contribution

Responsibilities

Design, develop, and deploy AI and machine learning solutions, including applications powered by large language models, to address complex workforce and organizational challenges
Turn unclear HR and business questions into scalable data products, predictive models, and decision-support tools
Build and manage end-to-end data science workflows from data extraction (enterprise data warehouses) to model deployment and monitoring
Collaborate with HR business partners, talent leaders, and executives to deliver actionable insights on internal mobility, skills, performance, and workforce planning
Develop and operationalize advanced analytics using modern AI frameworks such as LLMs, embeddings, and RAG architectures
Create reusable data assets, semantic layers, and metadata frameworks to boost analytics scalability and self-service
Work with data engineering teams to optimize data pipelines, maintain data quality, and enable near real-time analytics
Convey complex analytical findings and AI concepts clearly to non-technical stakeholders to inform strategic decisions
Uphold responsible AI practices, including data privacy, bias mitigation, and ethical use of employee data
Remain current with emerging AI trends and identify opportunities to adopt new technologies within the organization

Requirements

Bachelor’s degree in a quantitative field is required; Master’s degree is preferred
4+ years of professional experience or equivalent relevant work experience preferred
Core Data Science Capabilities: demonstrated proficiency in at least two areas, with competency in others:
- Programming and process automation: experience with file I/O, database integrations, and APIs to build automated analytics pipelines; familiarity with DevOps, automation, data mining, web scraping, or object-oriented software
- Data visualization: expertise in at least one visualization tool and working knowledge of others, including static and dynamic visuals
- Statistics and modeling: strong foundation in statistical inference, regression, machine learning algorithms, feature selection and extraction, and end-to-end ML tasks from problem framing to deployment
- Data extraction, transformation, and loading: advanced SQL skills for joining multiple tables/databases, sourcing data across internal and external sources, and building logical data models
- Core business capabilities: effective communication, experience in financial services, leadership with senior management, and disciplined multi-project prioritization
- Leadership capabilities: ability to mentor others, adapt to change, and lead proof-of-concept work when needed
Preferred characteristics: entrepreneurial self-starter, results-oriented problem-solver, lifelong learner with curiosity

Technologies

LLMs
Embeddings
RAG architectures

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