Data Scientist

VTS3 Corp.; Trenton (NJ); On-site; USD 55,104 - 82,656; Full time

Job summary

VTS3 Corp. is seeking a Data Scientist Consultant in Trenton, NJ to join our client's Prescription Overdose Prevention Initiative. The successful candidate will leverage public health datasets for predictive modeling and analytics.

Candidates must possess a Bachelor's degree in a relevant field and have extensive experience in data mining and statistical analysis. A Master's degree is preferred. The hourly position offers opportunities for overtime and requires authorization to work legally in the US.

Qualifications

• Extensive background in data mining and statistical analysis.
• Excellent pattern recognition and predictive modeling skills.
• Experience with SQL Databases and ETL technologies.

Responsibilities

• Research and develop statistical learning models for data analysis.
• Collaborate with HQI and HIT to devise possible solutions.
• Communicate results and ideas to key staff in DOH.

Skills

Data mining

Statistical analysis

Predictive modeling

Programming (Java, Python)

HDFS / Data Lake expertise

Education

Bachelor's Degree in Computer Science, Statistics, Applied Math

Master's Degree (preferred)

Tools

SQL Databases

PowerBI

Tableau

Job description

VTS3 is a Veteran-owned and operated company which provides full-service Recruiting, Talent Search, Staffing, and IT Professional Services. For more information visit www.vts3.com.

Job Description

We are looking for a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally has extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database.

The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff.

Responsibilities

• Research and develop statistical learning models for data analysis
• Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions
• Keep up-to-date with latest technology trends
• Communicate results and ideas to key staff in DOH
• Implement new statistical or other mathematical methodologies as needed for specific models or analyses
• Optimize joint development efforts through appropriate database use and project design

This is an hourly position with opportunity for overtime.

All Candidates Must be Authorized to Legally Work in the US Without Sponsorship.

Qualifications

• Extensive background in data mining and statistical analysis
• Ability to understand various data structures and common methods in data transformation
• Excellent pattern recognition and predictive modeling skills
• Experience with programming languages such as Java or Python is an asset
• Experience with HDFS / Data Lake Stores / Analytics
• Experience with SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS)
• Experience with Analysis Services (Tabular Mode / DAX / Cube concepts)
• Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others)
• Expertise in BI-related data architecture, integration, modeling, and presentation
• Understand BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others)
• Experience with ETL technologies (SQL Server Integration Services, Data Factory)
• At least 5-10 years as a data scientist with all of the skills listed above
• Bachelor's Degree in Computer Science, Statistics, Applied Math or related field

Education Preferred

• Master's Degree in Computer Science, Statistics, Applied Math or related field