Prescient Edge is seeking an EERC- Jr. Data Scientist to support a federal government client.

Please note that the availability of this position is contingent upon contract award.

Benefits:

At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:

• A competitive salary with performance bonus opportunities.
• Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
• A substantial retirement plan with no vesting schedule.
• Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
• A positive work environment where employees are respected, supported, and engaged.

Security Clearance:

• Security clearance required TS/SCI with the ability to obtain CI POLY.

Qualifications:

• Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Duties typically include:

• Creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
• Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
• Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.

• Researches and develops statistical learning models for data analysis.
• Collaborates with all source analysts to understand needs and devise possible solutions. Communicate results and ideas to key decision makers.
• Implements new statistical or other mathematical methodologies as needed for specific models or analysis.
• Optimizes joint development efforts through appropriate database use and project design.
• Applies academic social science theory in a computer model.

Desired Experience:

• Minimum 3 years of experience conducting analysis relevant to the specific labor category, with at least a portion of the experience within the last 2 years.

Desired Education:

• Bachelor's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education. An additional 4 years of experience in the specific labor category, for a total of 7 years of experience in the specific labor category, may be substituted for a bachelor’s degree.