Data Scientist (Hybrid - Richmond, VA)

Data Scientist (Hybrid - Richmond, VA)

We are currently recruiting for a Data Scientist, as part of the Data Science team you will play a pivotal role in planning, executing, and delivering machine learning-based projects to improve highway safety, reduce congestion and improve business processes. The bulk of the work will be in machine learning (ML) modeling, management and problem analysis, data exploration and data correlation and clustering.

This contract position is long-term with funding approved annually on 6/30/2023. 40 hours per week role. The role is hybrid of remote and onsite 2-3 days per week at our client's offices in Richmond, VA. The candidate will need to live within commutable distance of Richmond, VA.

This is a w-2 role as a Stage 4 Solutions employee. Health benefits and 401K are offered.

Responsibilities:

Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions Acquire access to various databases and other source systems. Help to create data pipelines for more efficient and repeatable data science projects. Apply statistical analysis and visualization techniques to various data Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions Ensure operational and business metric health by monitoring production decision points Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes Communicate results of analyses to business partners and executives Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team

Requirements:

5 years of experience in Statistical modeling and data analysis with Machine Learning methods/technologies using a programming language (Python, R) and related packages/library 5 years of experience using Geospatial analysis packages, preferably ArcGIS 3 years of experience in Cloud-based platforms (Azure, Google Cloud Platform, AWS) and their machine learning products 1 year of experience with Business intelligence packages: Microsoft PowerBI, Tableau, or similar products

Please submit your resume to our network at http://www.stage4solutions.com/careers/ (please apply for the Data Scientist (Hybrid - Richmond, VA) role).

Please feel free to forward this project opening to others who may be interested.