ASSOCIATE DATA SCIENTIST ANALYST

TALENT Software Services; Jacksonville (FL); On-site; USD 65,000 - 90,000; Full time

Job summary

TALENT Software Services is seeking a data analytics professional in the United States. The role focuses on data analysis, mining, pattern analysis, visualization, reporting, and data management.

You will support projects under supervision from senior data analysts or data scientists. You will work with descriptive analytics, data querying, data engineering, forecasting, and data visualization to drive insights for business problems and clinical practice.

Qualifications

• Has basic expertise in data science methods and data types.
• Applies problem-solving methodologies and analytical tools.
• Keeps current on healthcare trends and enterprise changes.
• Strong interpersonal and time management skills.
• Committed to delivering excellent customer service.

Responsibilities

• Descriptive analytics, data query scripting, analysis, engineering, visualizations, and forecasting.
• Provide data insights for business problems using analytics on structured/unstructured data.
• Execute analytical procedures per project work request.
• Modify scripts or apps to support data management and extraction.
• Communicate findings clearly to business or clinical teams.
• Interpret data analyses and contribute to report writing.
• Assist customers in understanding data and offer training or improvement ideas.

Skills

Analytical skills

Interpersonal skills

Time management

Customer service

Problem solving

Tools

Python

SQL

R

Scikit-learn

TensorFlow

XGBoost

Job description

Job Summary

This position utilizes data analysis, data mining, pattern analysis, data visualization, reporting, and data management skills. Supports projects under close supervision of senior data analysts or data scientists.

Job Summary

This position utilizes data analysis, data mining, pattern analysis, data visualization, reporting, and data management skills. Supports projects under close supervision of senior data analysts or data scientists.

Job Responsibilities

• Types of work include descriptive analytics, data query scripting, data analysis, data engineering, visualizations, and forecasting.
• Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
• Executes analytical procedures in the framework of a specific project work request.
• Modifies scripts or software applications to support data management, data extraction and data analysis as required.
• Leverages communication and interpersonal skills and works with subject matter experts Presents findings in easy to understand terms for the business or clinical practice.
• Contributes to the interpretation of data analysis and to writing reports.
• May help customers understand the data set and provide training and suggestions for improvement on the data request.

Skills

Required Skills & Experience

• Has basic expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.
• Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.)
• Incumbent must stay current on healthcare trends and enterprise changes.
• Interpersonal skills and time management skills.
• Strong analytical skills and a commitment to customer service.

Preferred Skills & Experience

• Ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques.

Notes

Scope

• AI modeling for vascular surgery imaging studies

Skills

• Programming: Python , SQL, R
• AI & Machine Learning: Machine Learning, Deep Learning, Generative AI, LLMs, Retrieval-Augmented Generation (RAG), Forecasting, Optimization, Anomaly Detection, Scikit-learn, TensorFlow, XGBoost, Supervised & Unsupervised Learning, Deep Learning, Neural Networks, LSTM Autoencoders, Time-Series Modeling, Predictive Modeling
• Analytics: Machine Learning, Predictive Modeling, Segmentation, Statistical Analysis, Time Series Forecasting, Model Governance