Remote Associate Data Scientist — AI & Analytics

Turnberry Solutions, Inc.; Jacksonville (FL); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare package

Disability insurance

Life insurance

401(k) with match

Flexible time off

Parental leave

Flexible work arrangements

Job summary

Turnberry Solutions, Inc. seeks an Associate Data Scientist Analyst to join the Data Strategy and Intelligence practice. You will conduct descriptive analytics, data querying, and forecasting, delivering actionable insights from structured and unstructured data for healthcare-related business challenges.

Responsibilities include creating visualizations, building AI models, and presenting results in business terms, with a focus on practical data governance and client outcomes.

Qualifications

• Bachelor's degree in a domain-relevant field such as Engineering, Mathematics, Computer Science, Statistics, Physics, Data Science, Health Science, or another analytical/quantitative field.
• Proficiency with data science methods and data types; ability to apply problem-solving methodologies.
• Experience with ML frameworks and statistical tools; ability to model and analyze data.

Responsibilities

• Descriptive analytics, data query scripting, data analysis, data engineering, visualizations, and forecasting.
• Provide data insights for business problems using analytics on structured and unstructured data.
• Execute analytical procedures within project work requests and present findings to stakeholders.

Skills

Python

SQL

R

Machine Learning

Deep Learning

Generative AI

Education

Bachelor's degree in Engineering, Mathematics, CS, Statistics, Data Science, or related field

Tools

TensorFlow

Scikit-learn

XGBoost

Job description

Turnberry Solutions, Inc. seeks an Associate Data Scientist Analyst to join the Data Strategy and Intelligence practice. You will conduct descriptive analytics, data querying, and forecasting, delivering actionable insights from structured and unstructured data for healthcare-related business challenges.

Responsibilities include creating visualizations, building AI models, and presenting results in business terms, with a focus on practical data governance and client outcomes.