Data Scientist: Predictive Analytics & Dashboards

GetJobSmart; Jacksonville (FL); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Bridgeway Valley Solutions in Jacksonville, FL is seeking a Data Scientist for a full-time role. You will analyze data, build predictive models, and create data visualizations to inform strategic decisions and improve operations.

The position requires a Master’s degree in Data Science, Statistics, or a related field, and experience with Python, R, and SQL. You will collaborate with cross-functional teams and perform data cleaning, feature engineering, and model evaluation.

Qualifications

• Master’s degree in Data Science, Statistics, Computer Science, or related field.
• 3+ years of experience in data science or a related field.
• Proficiency in Python, R, or similar programming languages.
• Experience with machine learning algorithms and techniques.
• Strong understanding of statistical methods and data analysis.
• Excellent communication and problem-solving skills.

Responsibilities

• Analyze large datasets to identify trends and patterns.
• Develop predictive models to forecast business outcomes.
• Collaborate with cross-functional teams to implement data-driven solutions.
• Create data visualizations and dashboards to communicate insights.
• Optimize existing data processes and systems.
• Stay up-to-date with emerging technologies and industry best practices.

Skills

Python

R

SQL

Machine learning

Data visualization

Statistics

Communication

Education

Master’s in Data Science

Master’s in Statistics

Master’s in Computer Science

Tools

Big data technologies

Job description

Bridgeway Valley Solutions in Jacksonville, FL is seeking a Data Scientist for a full-time role. You will analyze data, build predictive models, and create data visualizations to inform strategic decisions and improve operations.

The position requires a Master’s degree in Data Science, Statistics, or a related field, and experience with Python, R, and SQL. You will collaborate with cross-functional teams and perform data cleaning, feature engineering, and model evaluation.