Data Scientist — Onsite in Louisville, KY

Diverse Lynx, LLC; Louisville (KY); On-site; USD 68,000 - 97,000; Full time

Job summary

Diverse Lynx LLC is seeking a Data Scientist for an onsite role in Louisville, KY. You will apply advanced analytics, statistical modeling, and machine learning to solve business problems and improve outcomes across Humana.

collaboration with product, engineering, and architecture teams is essential to deliver data-driven solutions. Responsibilities include building models, translating business problems into analytical approaches, and communicating results via dashboards and documentation.

Qualifications

• Bachelor’s degree in a quantitative field or related discipline.
• Experience in data science, analytics, or ML.
• Strong programming and analytics fundamentals.

Responsibilities

• Analyze large, complex datasets to identify trends, risks, opportunities, and actionable insights.
• Build, validate, and deploy statistical, predictive, and machine learning models.
• Translate business problems into analytical approaches and measurable outcomes.
• Partner with engineers, product, and stakeholders to design scalable analytics solutions.
• Develop experiments, forecasting models, segmentation methods, and decision-support tools.
• Communicate findings through dashboards, visualizations, and documentation.
• Support model monitoring, performance evaluation, and continuous improvement.
• Ensure solutions align with enterprise standards and security policies.
• Follow information protection and least-privilege practices.

Skills

Python

R

SQL

Statistics

Machine learning

Data wrangling

Education

Bachelor’s degree in Data Science/Statistics/CS/Math/Engineering

Tools

Databricks

Spark

Cloud data platforms

Job description

Diverse Lynx LLC is seeking a Data Scientist for an onsite role in Louisville, KY. You will apply advanced analytics, statistical modeling, and machine learning to solve business problems and improve outcomes across Humana.

collaboration with product, engineering, and architecture teams is essential to deliver data-driven solutions. Responsibilities include building models, translating business problems into analytical approaches, and communicating results via dashboards and documentation.