Data Scientist II - Analytics & Insights

General Summary

We’re looking for a mid‑level Data Scientist who can bridge the gap between workforce and talent opportunities and what is possible with today’s AI, machine learning, and advanced analytics capabilities. This highly visible role sits at the intersection of applied AI, data science, scalable data products, and people analytics.

• Design, develop, and deploy AI/ML solutions—including LLM‑powered applications—that solve complex workforce and organizational challenges
• Translate ambiguous business and HR questions into scalable data products, models, and decision‑support tools
• Build and maintain end‑to‑end data science workflows, from data extraction (e.g., enterprise data warehouses) to model deployment and monitoring
• Partner with HRBPs, talent leaders, and executives to deliver actionable insights on internal mobility, skills, performance, and workforce planning
• Develop and product ionize advanced analytics solutions using modern AI frameworks (e.g., LLMs, embeddings, RAG architectures)
• Create reusable data assets, semantic layers, and metadata frameworks to improve analytics scalability and self‑service
• Collaborate with data engineering teams to optimize data pipelines, ensure data quality, and enable near real‑time analytics
• Communicate complex analytical findings and AI concepts clearly to non‑technical stakeholders, influencing strategic decision‑making
• Ensure responsible AI practices, including data privacy, bias mitigation, and ethical use of employee data
• Stay current on emerging AI trends and proactively identify opportunities to incorporate new technologies into the organization

• Bachelor’s degree in a quantitative field is required;
  Master’s preferred.
• 4+ years of professional experience in data science or equivalent.
• Deep expertise in at least two of the following skillsets, plus competency in the other: programming & process automation, data visualization, statistical modeling, and data extraction, transformation, and loading.
• Experience with SQL, automated analytics pipelines, and data engineering.
• Strong communication skills and ability to work with senior management.
• Leadership experience, ability to coach or mentor team members.

• Entrepreneurial self‑starter, results‑oriented problem‑solver, lifelong learner with voracious curiosity.
• Intermediate understanding of the organization.

Base salary range: $73,300.00 – $.

Benefits include health, vision, dental, short & long‑term disability, 401(k) employer match up to 5% plus additional 4.5% contribution, paid time off, performance‑based incentive plans, mental health support, tuition reimbursement, student loan repayment, and flexible work environments.

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

Unum is committed to providing reasonable accommodations for applicants with disabilities. Please contact us for assistance with the application or hiring process.